bdlimlmbw: BDLIM-bw for linear model

In AnderWilson/regimes: Regression in Multivariate Exposure Settings

BDLIM-bw for linear model

Description

This estimates the model for a group specific weight funciton and group specific effects

Usage

bdlimlmbw(Y, X, Z, G, B, niter, nburn, nthin, prior)

Arguments

Y	Outcome vector
X	Exposure matrix
Z	Matrix of covariates. An intercept will be added
G	Vector indicating group membership
B	Basis object from build.basis
niter	Number of MCMC iterations
nburn	Number of MCMC iterations to be discarded as burning
nthin	Number of draws taken to obtainone sampl
prior	List with the entries: sigma = a numeric 2-vector with the shape and rate paramters for the pirior in the error precision (1/sigma^2); betavar = the prior variance for beta; and gamma = the prior variance for the covarites. The priors on beta and gamma are iid normal mean zero.

Author(s)

Ander Wilson

AnderWilson/regimes documentation built on July 17, 2024, 4:12 a.m.