makeinter_cpp

makethreeinter_cpp

updatebeta_cpp

updateREs

make.inter

make.inter.treat

make.justthreeway

make.threewayinter

make.interXX

 internal

grid-internal

Sparse modeling provides a mean selecting a small number of non-zero effects from a large possible number of candidate effects.  This package includes a suite of methods for sparse modeling: estimation via EM or MCMC, approximate confidence intervals with nominal coverage, and diagnostic and summary plots.  The method can implement sparse linear regression and sparse probit regression.  Beyond regression analyses, applications include subgroup analysis, particularly for conjoint experiments, and panel data. Future versions will include extensions to  models with truncated outcomes, propensity score, and instrumental variable analysis.

Marc Ratkovic

sparsereg

Sparse Bayesian Models for Regression, Subgroup Analysis, and
Panel Data

grid-internal function

Internal Sparsereg Functions

grid-internal: Internal Sparsereg Functions

Description

Arguments

Details