statsmodels.gam.smooth_basis.CyclicCubicSplines¶
-
class
statsmodels.gam.smooth_basis.CyclicCubicSplines(x, df, constraints=None, variable_names=None)[source]¶ additive smooth components using cyclic cubic regression splines
This spline basis is the same as in patsy.
- Parameters
- xarray_like, 1-D or 2-D
underlying explanatory variable for smooth terms. If 2-dimensional, then observations should be in rows and explanatory variables in columns.
- dfint
numer of basis functions or degrees of freedom
- constraintsNone, string or array
Constraints are used to transform the basis functions to satisfy those constraints.
- variable_namesNone or list of strings
The names for the underlying explanatory variables, x used in for creating the column and parameter names for the basis functions. If
xis a pandas object, then the names will be taken from it.
Methods
transform(x_new)create the spline basis for new observations