knitr::opts_chunk$set( collapse = TRUE, comment = "#>", message = FALSE, eval = if (isTRUE(exists("params"))) params$EVAL else FALSE )

This vignette shows examples for using `tab_model()`

to create HTML tables for mixed models. Basically, `tab_model()`

behaves in a very similar way for mixed models as for other, simple regression models, as shown in this vignette.

# load required packages library(sjPlot) library(sjmisc) library(brms) # load sample datasets data("efc") efc <- to_factor(efc, e42dep, c172code, c161sex, e15relat) zinb <- read.csv("http://stats.idre.ucla.edu/stat/data/fish.csv") # fit two sample models m1 <- brm( bf(count ~ child + camper + (1 | persons), zi ~ child + camper), data = zinb, family = zero_inflated_poisson(), cores = 4, iter = 1000 ) f1 <- bf(neg_c_7 ~ e42dep + c12hour + c172code + (1 |ID| e15relat)) f2 <- bf(c12hour ~ c172code + (1 |ID| e15relat)) m2 <- brm( f1 + f2 + set_rescor(FALSE), data = efc, cores = 4, iter = 1000 )

For Bayesian regression models, some of the differences to the table output from simple models or mixed models of `tab_models()`

are the use of *Highest Density Intervals* instead of confidence intervals, the Bayes-R-squared values, and a different "point estimate" (which is, by default, the median from the posterior draws).

tab_model(m1)

For multivariate response models, like mediator-analysis-models, it is recommended to print just one model in the table, as each regression is displayed as own "model" in the output.

tab_model(m2)

To show just one HDI-column, use `show.hdi50 = FALSE`

.

tab_model(m2, show.hdi50 = FALSE)

When both multivariate and univariate response models are displayed in one table, a column *Response* is added for the multivariate response model, to indicate the different outcomes.

tab_model(m1, m2, show.hdi50 = F)

**Any scripts or data that you put into this service are public.**

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.