nicegee: Lisa's GEE Regression Table Function - fit must be geeglm...

In lisaerein/daphne: This package creates nice looking regression tables.

Usage

nicegee(df, fit, family = "gaussian", id, corstr = "exch",
  intercept = FALSE, ref = FALSE, labels = NA, blanks = FALSE,
  exp = FALSE, overallp = FALSE, est.dec = 2, ci.dec = 2,
  pval.dec = 3, estname = NA)

Arguments

df	Dataframe.
fit	geeglm (geepack) model object.
family	Model family in quotes ("guassian", "binomial", "poisson").
id	id variable.
corstr	corstr type ("exch" is default).
ref	If TRUE, the reference category gets its own line (left blank). Default is FALSE.
labels	Covariate labels - default is NA.
blanks	If TRUE, blank lines will be inserted separating covariates - default is FALSE.
exp	Exponentiate estimates and CI's? (T or F).
overallp	is whether to do overall Chisq test per variable
est.dec	Number of decimal places for OR estimates - default is 4.
ci.dec	Number of decimal places for 95 \item pval.decNumber of decimal places for pvalues - default is 4. \item estnameOption to override estimate column name. Default is NA.

Lisa's GEE Regression Table Function - fit must be geeglm type model gee geeglm geepack logistic pretty regression table

lisaerein/daphne documentation built on May 21, 2019, 6:42 a.m.