4.8.3. statsmodels.tsa.ar_model

4.8.3.1. Functions

add_trend(X[, trend, prepend, has_constant]) Adds a trend and/or constant to an array.
approx_fprime(x, f[, epsilon, args, kwargs, ...]) Gradient of function, or Jacobian if function f returns 1d array
approx_hess(x, f[, epsilon, args, kwargs]) Calculate Hessian with finite difference derivative approximation
iteritems(obj, **kwargs) replacement for six’s iteritems for Python2/3 compat
lagmat(x, maxlag[, trim, original]) create 2d array of lags

4.8.3.2. Classes

AR(endog[, dates, freq, missing]) Autoregressive AR(p) model
ARResults(model, params[, ...]) Class to hold results from fitting an AR model.
ARResultsWrapper(results)
KalmanFilter Kalman Filter code intended for use with the ARMA model.
OLS(endog[, exog, missing, hasconst]) A simple ordinary least squares model.
cache_writable([cachename, resetlist]) Decorator for CachedWritableAttribute
resettable_cache alias of ResettableCache