4. Other modules of interest

4.1. statsmodel.base

statsmodels.base
statsmodels.base._constraints Created on Thu May 15 16:36:05 2014
statsmodels.base.covtype Created on Mon Aug 04 08:00:16 2014
statsmodels.base.data Base tools for handling various kinds of data structures, attaching metadata to
statsmodels.base.l1_cvxopt
statsmodels.base.l1_slsqp Holds files for l1 regularization of LikelihoodModel, using
statsmodels.base.l1_solvers_common Holds common functions for l1 solvers.
statsmodels.base.model
statsmodels.base.optimizer Functions that are general enough to use for any model fitting.
statsmodels.base._penalties A collection of smooth penalty functions.
statsmodels.base.wrapper

4.6. statsmodel.tests

statsmodels.tests.check_for_rpy
statsmodels.tests.coverage_sm
statsmodels.tests.rmodelwrap

4.7. statsmodel.tools

statsmodels.tools.catadd
statsmodels.tools.compatibility
statsmodels.tools.data Compatibility tools for various data structure inputs
statsmodels.tools.decorators
statsmodels.tools.dump2module Save a set of numpy arrays to a python module file that can be imported
statsmodels.tools.eval_measures some measures for evaluation of prediction, tests and model selection
statsmodels.tools.grouputils Tools for working with groups
statsmodels.tools.linalg local, adjusted version from scipy.linalg.basic.py
statsmodels.tools.numdiff numerical differentiation function, gradient, Jacobian, and Hessian
statsmodels.tools.parallel Parallel utility function using joblib
statsmodels.tools.rootfinding Created on Mon Mar 18 15:48:23 2013
statsmodels.tools.sm_exceptions Contains custom errors and warnings.
statsmodels.tools.testing assert functions from numpy and pandas testing
statsmodels.tools.tools Utility functions models code
statsmodels.tools.transform_model Created on Tue May 27 13:23:24 2014
statsmodels.tools.web Provides a function to open the system browser to either search or go directly

4.8. statsmodel.tsa

statsmodels.tsa.api
statsmodels.tsa.adfvalues
statsmodels.tsa.ar_model
statsmodels.tsa.arimsa_model
statsmodels.tsa.arimsa_process
statsmodels.tsa.arimsa_mle
statsmodels.tsa.descriptivestats Descriptive Statistics for Time Series
statsmodels.tsa.interp.denton
statsmodels.tsa.kalmanf.kalmanfilter State Space Analysis using the Kalman Filter
statsmodels.tsa.mlemodel Base Classes for Likelihood Models in time series analysis
statsmodels.tsa.seasonal Seasonal Decomposition by Moving Averages
statsmodels.tsa.tsatools
statsmodels.tsa.varma_process Helper and filter functions for VAR and VARMA, and basic VAR class
statsmodels.tsa.x13 Run x12/x13-arima specs in a subprocess from Python and curry results back into python.
statsmodels.tsa.base.datetools
statsmodels.tsa.base.tsa_model
statsmodels.tsa.filters.api
statsmodels.tsa.filters._utils
statsmodels.tsa.filters.bk_filter
statsmodels.tsa.filters.cf_filter
statsmodels.tsa.filters.filtertools Linear Filters for time series analysis and testing
statsmodels.tsa.filters.hp_filter