pool.lori: aggregate lori multiple imputation results

In genevievelrobin/gammit: Low-Rank Interactions in Count Data with Covariates

Description

aggregate lori multiple imputation results

Usage

pool.lori(res.mi)

Arguments

res.mi

a multiple imputation result from the function mi.lori

Value

pool.impute	a list containing the pooled means (mean) and variance (var) of the imputed values
pool.alpha	a list containing the pooled means (mean) and variance (var) of the row effects
pool.beta	a list containing the pooled means (mean) and variance (var) of the column effects
pool.epsilon	a list containing the pooled means (mean) and variance (var) of the covariate effects
pool.theta	a list containing the pooled means (mean) and variance (var) of the interactions

Examples

X <- matrix(rnorm(50), 25)
Y <- matrix(rpois(25, 1:25), 5)
res <- mi.lori(Y, X, 10, 10, 2)
poolres <- pool.lori(res)

genevievelrobin/gammit documentation built on May 3, 2019, 2:58 p.m.