tab_model()
creates HTML tables from regression models.
tab_model(..., transform, show.intercept = TRUE, show.est = TRUE, show.ci = 0.95, show.hdi50 = TRUE, show.se = NULL, show.std = NULL, show.p = TRUE, show.stat = FALSE, show.header = FALSE, show.col.header = TRUE, show.zeroinf = TRUE, show.r2 = TRUE, show.icc = FALSE, show.re.var = FALSE, show.fstat = FALSE, show.aic = FALSE, show.aicc = FALSE, show.dev = FALSE, show.obs = TRUE, terms = NULL, rm.terms = NULL, group.terms = TRUE, order.terms = NULL, title = NULL, pred.labels = NULL, dv.labels = NULL, wrap.labels = 25, string.pred = "Predictors", string.std = "std. Beta", string.ci = "CI", string.se = "std. Error", string.p = "p", ci.hyphen = " – ", minus.sign = "", separate.ci.col = TRUE, separate.se.col = TRUE, digits = 2, digits.p = 3, emph.p = TRUE, case = "parsed", auto.label = TRUE, bpe = "median")
...  One or more regression models, including glm's or mixed models.
May also be a 

transform  A character vector, naming a function that will be applied
on estimates and confidence intervals. By default, 
show.intercept  Logical, if 
show.est  Logical, if 
show.ci  Logical, if 
show.se  Logical, if 
show.std  Indicates whether standardized betacoefficients should also printed, and if yes, which type of standardization is done. See 'Details'. 
show.p  Logical, adds asterisks that indicate the significance level of estimates to the value labels. 
show.zeroinf  Logical, if 
terms  Character vector with names of those terms (variables) that should
be printed in the table. All other terms are removed from the output. If

rm.terms  Character vector with names that indicate which terms should
be removed from the output Counterpart to 
group.terms  Logical, if 
order.terms  Numeric vector, indicating in which order the coefficients should be plotted. See examples in this packagevignette. 
title  Character vector, used as plot title. By default,

pred.labels  Character vector with labels of predictor variables.
If not 
dv.labels  Character vector with labels of dependent variables of all fitted models. See 'Examples'. 
wrap.labels  Numeric, determines how many chars of the value, variable or axis labels are displayed in one line and when a line break is inserted. 
string.pred  Character vector,used as headline for the predictor column.
Default is 
string.std  Character vector, used for the column heading of standardized beta coefficients. Default is 
string.ci  Character vector, used for the column heading of confidence interval values. Default is 
string.se  Character vector, used for the column heading of standard error values. Default is 
string.p  Character vector, used for the column heading of p values. Default is 
ci.hyphen  Character vector, indicating the hyphen for confidence interval range. May be an HTML entity. See 'Examples'. 
minus.sign  string, indicating the minus sign for negative numbers. May be an HTML entity. See 'Examples'. 
separate.ci.col  Logical, if 
separate.se.col  Logical, if 
digits  Amount of decimals for estimates 
digits.p  Amount of decimals for pvalues 
emph.p  Logical, if 
case  Desired target case. Labels will automatically converted into the
specified character case. See 
auto.label  Logical, if 
bpe  For Stanmodels (fitted with the rstanarm or
brmspackage), the Bayesian point estimate is, by default, the median
of the posterior distribution. Use 