Skip to main content
Ctrl+K

statsmodels

  • Installing
  • Getting started
  • User Guide
  • Examples
    • API Reference
    • About statsmodels
    • Developer Page
    • Release Notes
  • GitHub
  • PyPI
  • DOI
  • Installing
  • Getting started
  • User Guide
  • Examples
  • API Reference
  • About statsmodels
  • Developer Page
  • Release Notes
  • GitHub
  • PyPI
  • DOI

Section Navigation

  • endog, exog, what’s that?
  • Import Paths and Structure
  • Fitting models using R-style formulas
  • Pitfalls
  • Linear Regression
  • Generalized Linear Models
    • statsmodels.genmod.generalized_linear_model.GLM
    • statsmodels.genmod.generalized_linear_model.GLMResults
    • statsmodels.genmod.generalized_linear_model.PredictionResultsMean
    • statsmodels.genmod.families.family.Family
    • statsmodels.genmod.families.family.Binomial
    • statsmodels.genmod.families.family.Gamma
    • statsmodels.genmod.families.family.Gaussian
    • statsmodels.genmod.families.family.InverseGaussian
    • statsmodels.genmod.families.family.NegativeBinomial
    • statsmodels.genmod.families.family.Poisson
    • statsmodels.genmod.families.family.Tweedie
    • statsmodels.genmod.families.links.Link
    • statsmodels.genmod.families.links.CDFLink
    • statsmodels.genmod.families.links.CLogLog
    • statsmodels.genmod.families.links.LogLog
    • statsmodels.genmod.families.links.LogC
    • statsmodels.genmod.families.links.Log
    • statsmodels.genmod.families.links.Logit
    • statsmodels.genmod.families.links.NegativeBinomial
    • statsmodels.genmod.families.links.Power
    • statsmodels.genmod.families.links.Cauchy
    • statsmodels.genmod.families.links.Identity
    • statsmodels.genmod.families.links.InversePower
    • statsmodels.genmod.families.links.InverseSquared
    • statsmodels.genmod.families.links.Probit
      • statsmodels.genmod.families.links.Probit.deriv
      • statsmodels.genmod.families.links.Probit.deriv2
      • statsmodels.genmod.families.links.Probit.deriv2_numdiff
      • statsmodels.genmod.families.links.Probit.inverse
      • statsmodels.genmod.families.links.Probit.inverse_deriv
      • statsmodels.genmod.families.links.Probit.inverse_deriv2
    • statsmodels.genmod.families.varfuncs.VarianceFunction
    • statsmodels.genmod.families.varfuncs.constant
    • statsmodels.genmod.families.varfuncs.Power
    • statsmodels.genmod.families.varfuncs.mu
    • statsmodels.genmod.families.varfuncs.mu_squared
    • statsmodels.genmod.families.varfuncs.mu_cubed
    • statsmodels.genmod.families.varfuncs.Binomial
    • statsmodels.genmod.families.varfuncs.binary
    • statsmodels.genmod.families.varfuncs.NegativeBinomial
    • statsmodels.genmod.families.varfuncs.nbinom
  • Generalized Estimating Equations
  • Generalized Additive Models (GAM)
  • Robust Linear Models
  • Linear Mixed Effects Models
  • Regression with Discrete Dependent Variable
  • Generalized Linear Mixed Effects Models
  • ANOVA
  • Other Models othermod
  • Time Series analysis tsa
  • Time Series Analysis by State Space Methods statespace
  • Vector Autoregressions tsa.vector_ar
  • Methods for Survival and Duration Analysis
  • Nonparametric Methods nonparametric
  • Generalized Method of Moments gmm
  • Other Models miscmodels
  • Multivariate Statistics multivariate
  • Statistics stats
  • Contingency tables
  • Multiple Imputation with Chained Equations
  • Treatment Effects treatment
  • Empirical Likelihood emplike
  • Distributions
  • Graphics
  • Input-Output iolib
  • Tools
  • Working with Large Data Sets
  • Optimization
  • The Datasets Package
  • Sandbox
  • User Guide
  • Generalized Linear Models
  • statsmodels.genmod.families.links.Probit
  • statsmodels.genmod.families.links.Probit.deriv2_numdiff

statsmodels.genmod.families.links.Probit.deriv2_numdiff#

Probit.deriv2_numdiff(p)#

Second derivative of the link function g’’(p)

implemented through numerical differentiation

previous

statsmodels.genmod.families.links.Probit.deriv2

next

statsmodels.genmod.families.links.Probit.inverse
On this page
  • Probit.deriv2_numdiff
Show Source

© Copyright 2009-2025, Josef Perktold, Skipper Seabold, Jonathan Taylor, statsmodels-developers.

Created using Sphinx 9.1.0.

Built with the PyData Sphinx Theme 0.20.0.