| as_flextable.merMod | R Documentation | 
produce a flextable describing a mixed model. The function is only using package 'broom.mixed' that provides the data presented in the resulting flextable.
You can remove significance stars by setting options
options(show.signif.stars = FALSE).
## S3 method for class 'merMod'
as_flextable(x, add.random = TRUE, ...)
## S3 method for class 'lme'
as_flextable(x, add.random = TRUE, ...)
## S3 method for class 'gls'
as_flextable(x, add.random = TRUE, ...)
## S3 method for class 'nlme'
as_flextable(x, add.random = TRUE, ...)
## S3 method for class 'brmsfit'
as_flextable(x, add.random = TRUE, ...)
## S3 method for class 'glmmTMB'
as_flextable(x, add.random = TRUE, ...)
## S3 method for class 'glmmadmb'
as_flextable(x, add.random = TRUE, ...)
x | 
 a mixed model  | 
add.random | 
 TRUE or FALSE, if TRUE random effects are added to the table.  | 
... | 
 unused argument  | 
Other as_flextable methods: 
as_flextable(),
as_flextable.data.frame(),
as_flextable.gam(),
as_flextable.glm(),
as_flextable.grouped_data(),
as_flextable.htest(),
as_flextable.kmeans(),
as_flextable.lm(),
as_flextable.pam(),
as_flextable.summarizor(),
as_flextable.table(),
as_flextable.tabular(),
as_flextable.tabulator(),
as_flextable.xtable()
if (require("broom.mixed") && require("nlme")) {
  m1 <- lme(distance ~ age, data = Orthodont)
  ft <- as_flextable(m1)
  ft
}
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