Issues closed in the 0.6.0 development cycle

Issues closed in 0.6.0

GitHub stats for 2013/08/14 - 2014/10/15 (tag: v0.5.0)

We closed a total of 528 issues, 276 pull requests and 252 regular issues; this is the full list (generated with the script tools/github_stats.py):

This list is automatically generated and may be incomplete.

Pull Requests (276):

  • PR #2044: ENH: Allow unit interval for binary models. Closes #2040.

  • PR #1426: ENH: Import arima_process stuff into tsa.api

  • PR #2042: Fix two minor typos in contrast.py

  • PR #2034: ENH: Handle missing for extra data with formulas

  • PR #2035: MAINT: Remove deprecated code for 0.6

  • PR #1325: ENH: add the Edgeworth expansion based on the normal distribution

  • PR #2032: DOC: What it is what it is.

  • PR #2031: ENH: Expose patsy eval_env to users.

  • PR #2028: ENH: Fix numerical issues in links and families.

  • PR #2029: DOC: Fix versions to match other docs.

  • PR #1647: ENH: Warn on non-convergence.

  • PR #2014: BUG: Fix forecasting for ARIMA with d == 2

  • PR #2013: ENH: Better error message on object dtype

  • PR #2012: BUG: 2d 1 columns -> 1d. Closes #322.

  • PR #2009: DOC: Update after refactor. Use code block.

  • PR #2008: ENH: Add wrapper for MixedLM

  • PR #1954: ENH: PHReg formula improvements

  • PR #2007: BLD: Fix build issues

  • PR #2006: BLD: Do not generate cython on clean. Closes #1852.

  • PR #2000: BLD: Let pip/setuptools handle dependencies that aren’t installed at all.

  • PR #1999: Gee offset exposure 1994 rebased

  • PR #1998: BUG/ENH Lasso emptymodel rebased

  • PR #1989: BUG/ENH: WLS generic robust cov_type didn’t use whitened,

  • PR #1587: ENH: Wrap X12/X13-ARIMA AUTOMDL. Closes #442.

  • PR #1563: ENH: Add plot_predict method to ARIMA models.

  • PR #1995: BUG: Fix issue #1993

  • PR #1981: ENH: Add api for covstruct. Clear __init__. Closes #1917.

  • PR #1996: DEV: Ignore .venv file.

  • PR #1982: REF: Rename jac -> score_obs. Closes #1785.

  • PR #1987: BUG tsa pacf, base bootstrap

  • PR #1986: Bug multicomp 1927 rebased

  • PR #1984: Docs add gee.rst

  • PR #1985: Bug uncentered latex table 1929 rebased

  • PR #1983: BUG: Fix compat asunicode

  • PR #1574: DOC: Fix math.

  • PR #1980: DOC: Documentation fixes

  • PR #1974: REF/Doc beanplot change default color, add notebook

  • PR #1978: ENH: Check input to binary models

  • PR #1979: BUG: Typo

  • PR #1976: ENH: Add _repr_html_ to SimpleTable

  • PR #1977: BUG: Fix import refactor victim.

  • PR #1975: BUG: Yule walker cast to float

  • PR #1973: REF: Move and expose webuse

  • PR #1972: TST: Add testing against NumPy 1.9 and matplotlib 1.4

  • PR #1939: ENH: Binstar build files

  • PR #1952: REF/DOC: Misc

  • PR #1940: REF: refactor and speedup of mixed LME

  • PR #1937: ENH: Quick access to online documentation

  • PR #1942: DOC: Rename Change README type to rst

  • PR #1938: ENH: Enable Python 3.4 testing

  • PR #1924: Bug gee cov type 1906 rebased

  • PR #1870: robust covariance, cov_type in fit

  • PR #1859: BUG: Don’t use negative indexing with k_ar == 0. Closes #1858.

  • PR #1914: BUG: LikelihoodModelResults.pvalues use df_resid_inference

  • PR #1899: TST: fix assert_equal for pandas index

  • PR #1895: Bug multicomp pandas

  • PR #1894: BUG fix more ix indexing cases for pandas compat

  • PR #1889: BUG: fix ytick positions closes #1561

  • PR #1887: Bug pandas compat asserts

  • PR #1888: TST test_corrpsd Test_Factor: add noise to data

  • PR #1886: BUG pandas 0.15 compatibility in grouputils labels

  • PR #1885: TST: corr_nearest_factor, more informative tests

  • PR #1884: Fix: Add compat code for pd.Categorical in pandas>=0.15

  • PR #1883: BUG: add _ctor_param to TransfGen distributions

  • PR #1872: TST: fix _infer_freq for pandas .14+ compat

  • PR #1867: Ref covtype fit

  • PR #1865: Disable tst distribution 1864

  • PR #1856: _spg_optim returns history of objective function values

  • PR #1854: BLD: Don’t hard-code path for building notebooks. Closes #1249

  • PR #1851: MAINT: Cor nearest factor tests

  • PR #1847: Newton regularize

  • PR #1623: BUG Negbin fit regularized

  • PR #1797: BUG/ENH: fix and improve constant detection

  • PR #1770: TST: anova with -1 noconstant, add tests

  • PR #1837: Allow group variable to be passed as variable name when using formula

  • PR #1839: BUG: GEE score

  • PR #1830: BUG/ENH Use t

  • PR #1832: TST error with scipy 0.14 location distribution class

  • PR #1827: fit_regularized for linear models rebase 1674

  • PR #1825: Phreg 1312 rebased

  • PR #1826: Lme api docs

  • PR #1824: Lme profile 1695 rebased

  • PR #1823: Gee cat subclass 1694 rebase

  • PR #1781: ENH: Glm add score_obs

  • PR #1821: Glm maint #1734 rebased

  • PR #1820: BUG: revert change to conf_int in PR #1819

  • PR #1819: Docwork

  • PR #1772: REF: cov_params allow case of only cov_params_default is defined

  • PR #1771: REF numpy >1.9 compatibility, indexing into empty slice closes #1754

  • PR #1769: Fix ttest 1d

  • PR #1766: TST: TestProbitCG increase bound for fcalls closes #1690

  • PR #1709: BLD: Made build extensions more flexible

  • PR #1714: WIP: fit_constrained

  • PR #1706: REF: Use fixed params in test. Closes #910.

  • PR #1701: BUG: Fix faulty logic. Do not raise when missing=’raise’ and no missing data.

  • PR #1699: TST/ENH StandardizeTransform, reparameterize TestProbitCG

  • PR #1697: Fix for statsmodels/statsmodels#1689

  • PR #1692: OSL Example: redundant cell in example removed

  • PR #1688: Kshedden mixed rebased of #1398

  • PR #1629: Pull request to fix bandwidth bug in issue 597

  • PR #1666: Include pyx in sdist but don’t install

  • PR #1683: TST: GLM shorten random seed closes #1682

  • PR #1681: Dotplot kshedden rebased of 1294

  • PR #1679: BUG: Fix problems with predict handling offset and exposure

  • PR #1677: Update docstring of RegressionModel.predict()

  • PR #1635: Allow offset and exposure to be used together with log link; raise excep…

  • PR #1676: Tests for SVAR

  • PR #1671: ENH: avoid hard-listed bandwidths – use present dictionary (+typos fixed)

  • PR #1643: Allow matrix structure in covariance matrices to be exploited

  • PR #1657: BUG: Fix refactor victim.

  • PR #1630: DOC: typo, “interecept”

  • PR #1619: MAINT: Dataset docs cleanup and automatic build of docs

  • PR #1612: BUG/ENH Fix negbin exposure #1611

  • PR #1610: BUG/ENH fix llnull, extra kwds to recreate model

  • PR #1582: BUG: wls_prediction_std fix weight handling, see 987

  • PR #1613: BUG: Fix proportions allpairs #1493

  • PR #1607: TST: adjust precision, CI Debian, Ubuntu testing

  • PR #1603: ENH: Allow start_params in GLM

  • PR #1600: CLN: Regression plots fixes

  • PR #1592: DOC: Additions and fixes

  • PR #1520: CLN: Refactored so that there is no longer a need for 2to3

  • PR #1585: Cor nearest 1384 rebased

  • PR #1553: Gee maint 1528 rebased

  • PR #1583: BUG: For ARMA(0,0) ensure 1d bse and fix summary.

  • PR #1580: DOC: Fix links. [skip ci]

  • PR #1572: DOC: Fix link title [skip ci]

  • PR #1566: BLD: Fix copy paste path error for >= 3.3 Windows builds

  • PR #1524: ENH: Optimize Cython code. Use scipy blas function pointers.

  • PR #1560: ENH: Allow ARMA(0,0) in order selection

  • PR #1559: MAINT: Recover lost commits from vbench PR

  • PR #1554: Silenced test output introduced in medcouple

  • PR #1234: ENH: Robust skewness, kurtosis and medcouple measures

  • PR #1484: ENH: Add naive seasonal decomposition function

  • PR #1551: COMPAT: Fix failing test on Python 2.6

  • PR #1472: ENH: using human-readable group names instead of integer ids in MultiComparison

  • PR #1437: ENH: accept non-int definitions of cluster groups

  • PR #1550: Fix test gmm poisson

  • PR #1549: TST: Fix locally failing tests.

  • PR #1121: WIP: Refactor optimization code.

  • PR #1547: COMPAT: Correct bit_length for 2.6

  • PR #1545: MAINT: Fix missed usage of deprecated tools.rank

  • PR #1196: REF: ensure O(N log N) when using fft for acf

  • PR #1154: DOC: Add links for build machines.

  • PR #1546: DOC: Fix link to wrong notebook

  • PR #1383: MAINT: Deprecate rank in favor of np.linalg.matrix_rank

  • PR #1432: COMPAT: Add NumpyVersion from scipy

  • PR #1438: ENH: Option to avoid “center” environment.

  • PR #1544: BUG: Travis miniconda

  • PR #1510: CLN: Improve warnings to avoid generic warnings messages

  • PR #1543: TST: Suppress RuntimeWarning for L-BFGS-B

  • PR #1507: CLN: Silence test output

  • PR #1540: BUG: Correct derivative for exponential transform.

  • PR #1536: BUG: Restores coveralls for a single build

  • PR #1535: BUG: Fixes for 2.6 test failures, replacing astype(str) with apply(str)

  • PR #1523: Travis miniconda

  • PR #1533: DOC: Fix link to code on github

  • PR #1531: DOC: Fix stale links with linkcheck

  • PR #1530: DOC: Fix link

  • PR #1527: DOCS: Update docs add FAQ page

  • PR #1525: DOC: Update with Python 3.4 build notes

  • PR #1518: DOC: Ask for release notes and example.

  • PR #1516: DOC: Update examples contributing docs for current practice.

  • PR #1517: DOC: Be clear about data attribute of Datasets

  • PR #1515: DOC: Fix broken link

  • PR #1514: DOC: Fix formula import convention.

  • PR #1506: BUG: Format and decode errors in Python 2.6

  • PR #1505: TST: Test co2 load_data for Python 3.

  • PR #1504: BLD: New R versions require NAMESPACE file. Closes #1497.

  • PR #1483: ENH: Some utility functions for working with dates

  • PR #1482: REF: Prefer filters.api to __init__

  • PR #1481: ENH: Add weekly co2 dataset

  • PR #1474: DOC: Add plots for standard filter methods.

  • PR #1471: DOC: Fix import

  • PR #1470: DOC/BLD: Log code exceptions from nbgenerate

  • PR #1469: DOC: Fix bad links

  • PR #1468: MAINT: CSS fixes

  • PR #1463: DOC: Remove defunct argument. Change default kw. Closes #1462.

  • PR #1452: STY: import pandas as pd

  • PR #1458: BUG/BLD: exclude sandbox in relative path, not absolute

  • PR #1447: DOC: Only build and upload docs if we need to.

  • PR #1445: DOCS: Example landing page

  • PR #1436: DOC: Fix auto doc builds.

  • PR #1431: DOC: Add default for getenv. Fix paths. Add print_info

  • PR #1429: MAINT: Use ip_directive shipped with IPython

  • PR #1427: TST: Make tests fit quietly

  • PR #1424: ENH: Consistent results for transform_slices

  • PR #1421: ENH: Add grouping utilities code

  • PR #1419: Gee 1314 rebased

  • PR #1414: TST temporarily rename tests probplot other to skip them

  • PR #1403: Bug norm expan shapes

  • PR #1417: REF: Let subclasses keep kwds attached to data.

  • PR #1416: ENH: Make handle_data overwritable by subclasses.

  • PR #1410: ENH: Handle missing is none

  • PR #1402: REF: Expose missing data handling as classmethod

  • PR #1387: MAINT: Fix failing tests

  • PR #1406: MAINT: Tools improvements

  • PR #1404: Tst fix genmod link tests

  • PR #1396: REF: Multipletests reduce memory usage

  • PR #1380: DOC :Update vector_ar.rst

  • PR #1381: BLD: Don’t check dependencies on egg_info for pip. Closes #1267.

  • PR #1302: BUG: Fix typo.

  • PR #1375: STY: Remove unused imports and comment out unused libraries in setup.py

  • PR #1143: DOC: Update backport notes for new workflow.

  • PR #1374: ENH: Import tsaplots into tsa namespace. Closes #1359.

  • PR #1369: STY: Pep-8 cleanup

  • PR #1370: ENH: Support ARMA(0,0) models.

  • PR #1368: STY: Pep 8 cleanup

  • PR #1367: ENH: Make sure mle returns attach to results.

  • PR #1365: STY: Import and pep 8 cleanup

  • PR #1364: ENH: Get rid of hard-coded lbfgs. Closes #988.

  • PR #1363: BUG: Fix typo.

  • PR #1361: ENH: Attach mlefit to results not model.

  • PR #1360: ENH: Import adfuller into tsa namespace

  • PR #1346: STY: PEP-8 Cleanup

  • PR #1344: BUG: Use missing keyword given to ARMA.

  • PR #1340: ENH: Protect against ARMA convergence failures.

  • PR #1334: ENH: ARMA order select convenience function

  • PR #1339: Fix typos

  • PR #1336: REF: Get rid of plain assert.

  • PR #1333: STY: __all__ should be after imports.

  • PR #1332: ENH: Add Bunch object to tools.

  • PR #1331: ENH: Always use unicode.

  • PR #1329: BUG: Decode metadata to utf-8. Closes #1326.

  • PR #1330: DOC: Fix typo. Closes #1327.

  • PR #1185: Added support for pandas when pandas was installed directly from git trunk

  • PR #1315: MAINT: Change back to path for build box

  • PR #1305: TST: Update hard-coded path.

  • PR #1290: ENH: Add seasonal plotting.

  • PR #1296: BUG/TST: Fix ARMA forecast when start == len(endog). Closes #1295

  • PR #1292: DOC: cleanup examples folder and webpage

  • PR #1286: Make sure PeriodIndex passes through tsa. Closes #1285.

  • PR #1271: Silverman enhancement - Issue #1243

  • PR #1264: Doc work GEE, GMM, sphinx warnings

  • PR #1179: REF/TST: ProbPlot now uses resettable_cache and added some kwargs to plotting fxns

  • PR #1225: Sandwich mle

  • PR #1258: Gmm new rebased

  • PR #1255: ENH add GEE to genmod

  • PR #1254: REF: Results.predict convert to array and adjust shape

  • PR #1192: TST: enable tests for llf after change to WLS.loglike see #1170

  • PR #1253: Wls llf fix

  • PR #1233: sandbox kernels bugs uniform kernel and confint

  • PR #1240: Kde weights 1103 823

  • PR #1228: Add default value tags to adfuller() docs

  • PR #1198: fix typo

  • PR #1230: BUG: numerical precision in resid_pearson with perfect fit #1229

  • PR #1214: Compare lr test rebased

  • PR #1200: BLD: do not install *.pyx *.c MANIFEST.in

  • PR #1202: MAINT: Sort backports to make applying easier.

  • PR #1157: Tst precision master

  • PR #1161: add a fitting interface for simultaneous log likelihood and score, for lbfgs, tested with MNLogit

  • PR #1160: DOC: update scipy version from 0.7 to 0.9.0

  • PR #1147: ENH: add lbfgs for fitting

  • PR #1156: ENH: Raise on 0,0 order models in AR(I)MA. Closes #1123

  • PR #1149: BUG: Fix small data issues for ARIMA.

  • PR #1092: Fixed duplicate svd in RegressionModel

  • PR #1139: TST: Silence tests

  • PR #1135: Misc style

  • PR #1088: ENH: add predict_prob to poisson

  • PR #1125: REF/BUG: Some GLM cleanup. Used trimmed results in NegativeBinomial variance.

  • PR #1124: BUG: Fix ARIMA prediction when fit without a trend.

  • PR #1118: DOC: Update gettingstarted.rst

  • PR #1117: Update ex_arma2.py

  • PR #1107: REF: Deprecate stand_mad. Add center keyword to mad. Closes #658.

  • PR #1089: ENH: exp(poisson.logpmf()) for poisson better behaved.

  • PR #1077: BUG: Allow 1d exog in ARMAX forecasting.

  • PR #1075: BLD: Fix build issue on some versions of easy_install.

  • PR #1071: Update setup.py to fix broken install on OSX

  • PR #1052: DOC: Updating contributing docs

  • PR #1136: RLS: Add IPython tools for easier backporting of issues.

  • PR #1091: DOC: minor git typo

  • PR #1082: coveralls support

  • PR #1072: notebook examples title cell

  • PR #1056: Example: reg diagnostics

  • PR #1057: COMPAT: Fix py3 caching for get_rdatasets.

  • PR #1045: DOC/BLD: Update from nbconvert to IPython 1.0.

  • PR #1026: DOC/BLD: Add LD_LIBRARY_PATH to env for docs build.

Issues (252):

  • #2040: enh: fractional Logit, Probit

  • #1220: missing in extra data (example sandwiches, robust covariances)

  • #1877: error with GEE on missing data.

  • #805: nan with categorical in formula

  • #2036: test in links require exact class so Logit can’t work in place of logit

  • #2010: Go over deprecations again for 0.6.

  • #1303: patsy library not automatically installed

  • #2024: genmod Links numerical improvements

  • #2025: GEE requires exact import for cov_struct

  • #2017: Matplotlib warning about too many figures

  • #724: check warnings

  • #1562: ARIMA forecasts are hard-coded for d=1

  • #880: DataFrame with bool type not cast correctly.

  • #1992: MixedLM style

  • #322: acf / pacf do not work on pandas objects

  • #1317: AssertionError: attr is not equal [dtype]: dtype(‘object’) != dtype(‘datetime64[ns]’)

  • #1875: dtype bug object arrays (raises in clustered standard errors code)

  • #1842: dtype object, glm.fit() gives AttributeError: sqrt

  • #1300: Doc errors, missing

  • #1164: RLM cov_params, t_test, f_test don’t use bcov_scaled

  • #1019: 0.6.0 Roadmap

  • #554: Prediction Standard Errors

  • #333: ENH tools: squeeze in R export file

  • #1990: MixedLM does not have a wrapper

  • #1897: Consider depending on setuptools in setup.py

  • #2003: pip install now fails silently

  • #1852: do not cythonize when cleaning up

  • #1991: GEE formula interface does not take offset/exposure

  • #442: Wrap x-12 arima

  • #1993: MixedLM bug

  • #1917: API: GEE access to genmod.covariance_structure through api

  • #1785: REF: rename jac -> score_obs

  • #1969: pacf has incorrect standard errors for lag 0

  • #1434: A small bug in GenericLikelihoodModelResults.bootstrap()

  • #1408: BUG test failure with tsa_plots

  • #1337: DOC: HCCM are now available for WLS

  • #546: influence and outlier documentation

  • #1532: DOC: Related page is out of date

  • #1386: Add minimum matplotlib to docs

  • #1068: DOC: keeping documentation of old versions on sourceforge

  • #329: link to examples and datasets from module pages

  • #1804: PDF documentation for statsmodels

  • #202: Extend robust standard errors for WLS/GLS

  • #1519: Link to user-contributed examples in docs

  • #1053: inconvenient: logit when endog is (1,2) instead of (0,1)

  • #1555: SimpleTable: add repr html for ipython notebook

  • #1366: Change default start_params to .1 in ARMA

  • #1869: yule_walker (from statsmodels.regression) raises exception when given an integer array

  • #1651: statsmodels.tsa.ar_model.ARResults.predict

  • #1738: GLM robust sandwich covariance matrices

  • #1779: Some directories under statsmodels dont have __init_.py

  • #1242: No support for (0, 1, 0) ARIMA Models

  • #1571: expose webuse, use cache

  • #1860: ENH/BUG/DOC: Bean plot should allow for separate widths of bean and violins.

  • #1831: TestRegressionNM.test_ci_beta2 i386 AssertionError

  • #1079: bugfix release 0.5.1

  • #1338: Raise Warning for HCCM use in WLS/GLS

  • #1430: scipy min version / issue

  • #276: memoize, last argument wins, how to attach sandwich to Results?

  • #1943: REF/ENH: LikelihoodModel.fit optimization, make hessian optional

  • #1957: BUG: Re-create OLS model using _init_keys

  • #1905: Docs: online docs are missing GEE

  • #1898: add python 3.4 to continuous integration testing

  • #1684: BUG: GLM NegativeBinomial: llf ignores offset and exposure

  • #1256: REF: GEE handling of default covariance matrices

  • #1760: Changing covariance_type on results

  • #1906: BUG: GEE default covariance is not used

  • #1931: BUG: GEE subclasses NominalGEE don’t work with pandas exog

  • #1904: GEE Results doesn’t have a Wrapper

  • #1918: GEE: required attributes missing, df_resid

  • #1919: BUG GEE.predict uses link instead of link.inverse

  • #1858: BUG: arimax forecast should special case k_ar == 0

  • #1903: BUG: pvalues for cluster robust, with use_t don’t use df_resid_inference

  • #1243: kde silverman bandwidth for non-gaussian kernels

  • #1866: Pip dependencies

  • #1850: TST test_corr_nearest_factor fails on Ubuntu

  • #292: python 3 examples

  • #1868: ImportError: No module named compat [ from statsmodels.compat import lmap ]

  • #1890: BUG tukeyhsd nan in group labels

  • #1891: TST test_gmm outdated pandas, compat

  • #1561: BUG plot for tukeyhsd, MultipleComparison

  • #1864: test failure sandbox distribution transformation with scipy 0.14.0

  • #576: Add contributing guidelines

  • #1873: GenericLikelihoodModel is not picklable

  • #1822: TST failure on Ubuntu pandas 0.14.0 , problems with frequency

  • #1249: Source directory problem for notebook examples

  • #1855: anova_lm throws error on models created from api.ols but not formula.api.ols

  • #1853: a large number of hardcoded paths

  • #1792: R² adjusted strange after including interaction term

  • #1794: REF: has_constant, k_constant, include implicit constant detection in base

  • #1454: NegativeBinomial missing fit_regularized method

  • #1615: REF DRYing fit methods

  • #1453: Discrete NegativeBinomialModel regularized_fit ValueError: matrices are not aligned

  • #1836: BUG Got an TypeError trying to import statsmodels.api

  • #1829: BUG: GLM summary show “t” use_t=True for summary

  • #1828: BUG summary2 doesn’t propagate/use use_t

  • #1812: BUG/ REF conf_int and use_t

  • #1835: Problems with installation using easy_install

  • #1801: BUG ‘f_gen’ missing in scipy 0.14.0

  • #1803: Error revealed by numpy 1.9.0r1

  • #1834: stackloss

  • #1728: GLM.fit maxiter=0 incorrect

  • #1795: singular design with offset ?

  • #1730: ENH/Bug cov_params, generalize, avoid ValueError

  • #1754: BUG/REF: assignment to slices in numpy >= 1.9 (emplike)

  • #1409: GEE test errors on Debian Wheezy

  • #1521: ubuntu failues: tsa_plot and grouputils

  • #1415: test failure test_arima.test_small_data

  • #1213: df_diff in anova_lm

  • #1323: Contrast Results after t_test summary broken for 1 parameter

  • #109: TestProbitCG failure on Ubuntu

  • #1690: TestProbitCG: 8 failing tests (Python 3.4 / Ubuntu 12.04)

  • #1763: Johansen method doesn’t give correct index values

  • #1761: doc build failures: ipython version ? ipython directive

  • #1762: Unable to build

  • #1745: UnicodeDecodeError raised by get_rdataset(“Guerry”, “HistData”)

  • #611: test failure foreign with pandas 0.7.3

  • #1700: faulty logic in missing handling

  • #1648: ProbitCG failures

  • #1689: test_arima.test_small_data: SVD fails to converge (Python 3.4 / Ubuntu 12.04)

  • #597: BUG: nonparametric: kernel, efficient=True changes bw even if given

  • #1606: BUILD from sdist broken if cython available

  • #1246: test failure test_anova.TestAnova2.test_results

  • #50: t_test, f_test, model.py for normal instead of t-distribution

  • #1655: newey-west different than R?

  • #1682: TST test failure on Ubuntu, random.seed

  • #1614: docstring for regression.linear_model.RegressionModel.predict() does not match implementation

  • #1318: GEE and GLM scale parameter

  • #519: L1 fit_regularized cleanup, comments

  • #651: add structure to example page

  • #1067: Kalman Filter convergence. How close is close enough?

  • #1281: Newton convergence failure prints warnings instead of warning

  • #1628: Unable to install statsmodels in the same requirements file as numpy, pandas, etc.

  • #617: Problem in installing statsmodel in Fedora 17 64-bit

  • #935: ll_null in likelihoodmodels discrete

  • #704: datasets.sunspot: wrong link in description

  • #1222: NegativeBinomial ignores exposure

  • #1611: BUG NegativeBinomial ignores exposure and offset

  • #1608: BUG: NegativeBinomial, llnul is always default ‘nb2’

  • #1221: llnull with exposure ?

  • #1493: statsmodels.stats.proportion.proportions_chisquare_allpairs has hardcoded value

  • #1260: GEE test failure on Debian

  • #1261: test failure on Debian

  • #443: GLM.fit does not allow start_params

  • #1602: Fitting GLM with a pre-assigned starting parameter

  • #1601: Fitting GLM with a pre-assigned starting parameter

  • #890: regression_plots problems (pylint) and missing test coverage

  • #1598: Is “old” string formatting Python 3 compatible?

  • #1589: AR vs ARMA order specification

  • #1134: Mark knownfails

  • #1259: Parameterless models

  • #616: python 2.6, python 3 in single codebase

  • #1586: Kalman Filter errors with new pyx

  • #1565: build_win_bdist*_py3*.bat are using the wrong compiler

  • #843: UnboundLocalError When trying to install OS X

  • #713: arima.fit performance

  • #367: unable to install on RHEL 5.6

  • #1548: testtransf error

  • #1478: is sm.tsa.filters.arfilter an AR filter?

  • #1420: GMM poisson test failures

  • #1145: test_multi noise

  • #1539: NegativeBinomial strange results with bfgs

  • #936: vbench for statsmodels

  • #1153: Where are all our testing machines?

  • #1500: Use Miniconda for test builds

  • #1526: Out of date docs

  • #1311: BUG/BLD 3.4 compatibility of cython c files

  • #1513: build on osx -python-3.4

  • #1497: r2nparray needs NAMESPACE file

  • #1502: coveralls coverage report for files is broken

  • #1501: pandas in/out in predict

  • #1494: truncated violin plots

  • #1443: Crash from python.exe using linear regression of statsmodels

  • #1462: qqplot line kwarg is broken/docstring is wrong

  • #1457: BUG/BLD: Failed build if “sandbox” anywhere in statsmodels path

  • #1441: wls function: syntax error “unexpected EOF while parsing” occurs when name of dependent variable starts with digits

  • #1428: ipython_directive doesn’t work with ipython master

  • #1385: SimpleTable in Summary (e.g. OLS) is slow for large models

  • #1399: UnboundLocalError: local variable ‘fittedvalues’ referenced before assignment

  • #1377: TestAnova2.test_results fails with pandas 0.13.1

  • #1394: multipletests: reducing memory consumption

  • #1267: Packages cannot have both pandas and statsmodels in install_requires

  • #1359: move graphics.tsa to tsa.graphics

  • #356: docs take up a lot of space

  • #988: AR.fit no precision options for fmin_l_bfgs_b

  • #990: AR fit with bfgs: large score

  • #14: arma with exog

  • #1348: reset_index + set_index with drop=False

  • #1343: ARMA doesn’t pass missing keyword up to TimeSeriesModel

  • #1326: formula example notebook broken

  • #1327: typo in docu-code for “Outlier and Influence Diagnostic Measures”

  • #1309: Box-Cox transform (some code needed: lambda estimator)

  • #1059: sm.tsa.ARMA making ma invertibility

  • #1295: Bug in ARIMA forecasting when start is int len(endog) and dates are given

  • #1285: tsa models fail on PeriodIndex with pandas

  • #1269: KPSS test for stationary processes

  • #1268: Feature request: Exponential smoothing

  • #1250: DOCs error in var_plots

  • #1032: Poisson predict breaks on list

  • #347: minimum number of observations - document or check ?

  • #1170: WLS log likelihood, aic and bic

  • #1187: sm.tsa.acovf fails when both unbiased and fft are True

  • #1239: sandbox kernels, problems with inDomain

  • #1231: sandbox kernels confint missing alpha

  • #1245: kernels cosine differs from Stata

  • #823: KDEUnivariate with weights

  • #1229: precision problems in degenerate case

  • #1219: select_order

  • #1206: REF: RegressionResults cov-HCx into cached attributes

  • #1152: statsmodels failing tests with pandas master

  • #1195: pyximport.install() before import api crash

  • #1066: gmm.IV2SLS has wrong predict signature

  • #1186: OLS when exog is 1d

  • #1113: TST: precision too high in test_normality

  • #1159: scipy version is still >= 0.7?

  • #1108: SyntaxError: unqualified exec is not allowed in function ‘test_EvalEnvironment_capture_flag

  • #1116: Typo in Example Doc?

  • #1123: BUG : arima_model._get_predict_out_of_sample, ignores exogenous of there is no trend ?

  • #1155: ARIMA - The computed initial AR coefficients are not stationary

  • #979: Win64 binary can’t find Python installation

  • #1046: TST: test_arima_small_data_bug on current master

  • #1146: ARIMA fit failing for small set of data due to invalid maxlag

  • #1081: streamline linear algebra for linear model

  • #1138: BUG: pacf_yw doesn’t demean

  • #1127: Allow linear link model with Binomial families

  • #1122: no data cleaning for statsmodels.genmod.families.varfuncs.NegativeBinomial()

  • #658: robust.mad is not being computed correctly or is non-standard definition; it returns the median

  • #1076: Some issues with ARMAX forecasting

  • #1073: easy_install sandbox violation

  • #1115: EasyInstall Problem

  • #1106: bug in robust.scale.mad?

  • #1102: Installation Problem

  • #1084: DataFrame.sort_index does not use ascending when then value is a list with a single element

  • #393: marginal effects in discrete choice do not have standard errors defined

  • #1078: Use pandas.version.short_version

  • #96: deepcopy breaks on ResettableCache

  • #1055: datasets.get_rdataset string decode error on python 3

  • #46: tsa.stattools.acf confint needs checking and tests

  • #957: ARMA start estimate with numpy master

  • #62: GLSAR incorrect initial condition in whiten

  • #1021: from_formula() throws error - problem installing

  • #911: noise in stats.power tests

  • #472: Update roadmap for 0.5

  • #238: release 0.5

  • #1006: update nbconvert to IPython 1.0

  • #1038: DataFrame with integer names not handled in ARIMA

  • #1036: Series no longer inherits from ndarray

  • #1028: Test fail with windows and Anaconda - Low priority

  • #676: acorr_breush_godfrey undefined nlags

  • #922: lowess returns inconsistent with option

  • #425: no bse in robust with norm=TrimmedMean

  • #1025: add_constant incorrectly detects constant column