count_grps: Count groups

In m-clark/mixedup: Miscellaneous functions for mixed models

Count groups

Description

A helper function to count groups to add to random effect results.

Usage

count_grps(model, grp_vars)

## Default S3 method:
count_grps(model, grp_vars)

## S3 method for class 'merMod'
count_grps(model, grp_vars)

## S3 method for class 'glmmTMB'
count_grps(model, grp_vars)

## S3 method for class 'lme'
count_grps(model, grp_vars)

## S3 method for class 'brmsfit'
count_grps(model, grp_vars)

## S3 method for class 'stanreg'
count_grps(model, grp_vars)

## S3 method for class 'stanmvreg'
count_grps(model, grp_vars)

## S3 method for class 'gam'
count_grps(model, grp_vars)

Arguments

model	A fitted model e.g. from lme4.
grp_vars	A character vector for the grouping/cluster variables used for random effects

Details

For each grouping variable for which random effects are estimated, count the respective group sizes. This is not meant to be used directly.

Value

A tibble of the results.

Examples

library(lme4)
library(mixedup)

mod = lmer(Reaction ~ Days + (1 + Days | Subject), sleepstudy)

count_grps(mod, 'Subject')

m-clark/mixedup documentation built on Oct. 15, 2022, 8:55 a.m.