brm_tab: Generate Coefficient Significance tables from brm model

In Ajfrick/AVRCHelp: Assistance for AVRC/PIRC Data

Description

Generate Coefficient Significance tables from brm model

Usage

brm_tab(fit, digits = 2, predlabs, ...)

Arguments

fit	model fit by brm function
digits	number of digits to round
predlabs	optional vetor of labels for each predictor

Value

Tibble with 4 columns: Name, Prob, 95

Examples

require(brms)
x = 1:100
y = x^2 + rnorm(length(x))
z = runif(length(x),0,length(x))
g = rep(1:4,each = 25)
df = tibble(x = x,y = y,z = z, g = g)
brmfit = brm(y ~ x^2 + z + (1|g), data = df)
brm_tab(brmfit)

Ajfrick/AVRCHelp documentation built on May 28, 2019, 1:34 a.m.