glm_multivar — glm_multivar • bbvmisc

Run a multivariable `glm()` for a vector of predictor variables with tidy df output

glm_multivar(
  data,
  respvar,
  predvars,
  family = "poisson",
  exp = TRUE,
  additional_term = "",
  fast = TRUE
)

Arguments

data: Input dataset
respvar: Single character string of response variable
predvars: Vector of character strings of predictor variables
family: Single character string of family function
exp: Option to exponentiate model estimates (default is TRUE)
additional_term: Option to add additional terms to model (default is blank)
fast: Option to use normal approximation for confidence intervals (default is TRUE)

Regression model table with confidence intervals

if (FALSE) { # \dontrun{
glm_multivar(dat, "var", c("var1", "var2"), additional_term="+ offset(log(py))")
} # }