statsmodels.multivariate.factor.Factor.fit¶

Factor.fit(maxiter=50, tol=1e-08, start=None, opt_method='BFGS', opt=None, em_iter=3)[source]¶

Estimate factor model parameters.

Parameters:¶

maxiterint

Maximum number of iterations for iterative estimation algorithms

tolfloat

Stopping criteria (error tolerance) for iterative estimation algorithms

startarray_like

Starting values, currently only used for ML estimation

opt_methodstr

Optimization method for ML estimation

optdict-like

Keyword arguments passed to optimizer, only used for ML estimation

em_iterint

The number of EM iterations before starting gradient optimization, only used for ML estimation.

Returns:¶

FactorResults

Results class instance.