params <- list(EVAL = FALSE) ## ----echo = FALSE------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", message = FALSE ) if (!requireNamespace("lme4", quietly = TRUE) || !requireNamespace("glmmTMB", quietly = TRUE)) { knitr::opts_chunk$set(eval = FALSE) } else { knitr::opts_chunk$set(eval = TRUE) } ## ----results='hide', message=FALSE, warning=FALSE----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- # load required packages library(sjPlot) library(lme4) data("sleepstudy") data("efc") efc$cluster <- as.factor(efc$e15relat) ## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- m1 <- lmer(neg_c_7 ~ c160age + c161sex + e42dep + (1 | cluster), data = efc) m2 <- lmer(Reaction ~ Days + (1 + Days | Subject), data = sleepstudy) tab_model(m1, m2) ## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- tab_model(m1, p.val = "kr", show.df = TRUE) ## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- data("efc") efc$neg_c_7d <- ifelse(efc$neg_c_7 < median(efc$neg_c_7, na.rm = TRUE), 0, 1) efc$cluster <- as.factor(efc$e15relat) m3 <- glmer( neg_c_7d ~ c160age + c161sex + e42dep + (1 | cluster), data = efc, family = binomial(link = "logit") ) tab_model(m1, m3) ## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- library(glmmTMB) data("Salamanders") m4 <- glmmTMB( count ~ spp + mined + (1 | site), ziformula = ~ spp + mined, family = truncated_poisson(link = "log"), data = Salamanders ) tab_model(m1, m3, m4, show.ci = FALSE)