bdlimglmall: BDLIM for glm

In AnderWilson/regimes: Regression in Multivariate Exposure Settings

BDLIM for glm

Description

This estimates the model for a single group or the overall effect

Usage

bdlimglmall(Y, X, Z, G, B, model, niter, nburn, nthin, prior, family = family)

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
model	Indicator of how G enters the model. If 'bw' both the betas and weight functions will vary between groups. If 'b' then only the betas will vary between groups. If 'w' then only the wieght function will vary by group. If "n" then neither beta or the wieght function will vary by group. If a vector of any combination of the four choices is provided then those models will be run and compared. The option 'all' runs all four models and compares them.
niter	Number of MCMC iterations
nburn	Number of MCMC iterations to be discarded as burning
nthin	Number of draws taken to obtain one sample
prior	List with the entries: 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.
family	Family as a funciton for glm

Author(s)

Ander Wilson

AnderWilson/regimes documentation built on Aug. 5, 2023, 8:30 a.m.