pooling.clmm: Calculate pooled estimates of fixed effects, standard...

In DaanNieboer/ordinalimputation: Pool results from the clmm function with multiple imputation

Description

Calculate pooled estimates of fixed effects, standard deviation of the random effect and conditional modes of the random effect terms.

Usage

## S3 method for class 'clmm'
pooling(x, conf.int.re = c("none", "profile"), data = NULL)

Arguments

x	A list containing clmm fits. For instance the analyses slot from a mira object of the mice package. Or the result from the with.mids function from the mice package.
conf.int.re	Type of 95 random effect to be calculated. Default is none.
data	mira object used to fit the model. Needed for calculating the profile likelihood.

Value

A pooled.clmm object. With the following elements:

Slots

fixed_effects

Pooled fixed effect estimates and associated standard errors.

random_effects

Pooled modes of random effects with associated conditional variances.

random_dist

Standard deviation of the random effect distribution and associated median odds ratio

conf_in_re

Optional 95

DaanNieboer/ordinalimputation documentation built on March 1, 2021, 8:38 a.m.