6.6.1. statsmodels.sandbox.panel.correlation_structures

Correlation and Covariance Structures

Created on Sat Dec 17 20:46:05 2011

Author: Josef Perktold License: BSD-3

6.6.1.1. Reference

quick reading of some section on mixed effects models in S-plus and of outline for GEE.

6.6.1.2. Functions

corr2cov(corr, std) convert correlation matrix to covariance matrix
corr_ar(k_vars, ar) create autoregressive correlation matrix
corr_arma(k_vars, ar, ma) create arma correlation matrix
corr_equi(k_vars, rho) create equicorrelated correlation matrix with rho on off diagonal
whiten_ar(x, ar_coefs) Whiten a series of columns according to an AR(p) covariance structure.
yule_walker_acov(acov[, order, method, df, inv]) Estimate AR(p) parameters from acovf using Yule-Walker equation.

6.6.1.3. Classes

ARCovariance([ar, ar_coefs, sigma]) experimental class for Covariance of AR process