Helper functions for Poisson models

Usage

h_glm_count(.var, .df_row, variables, distribution, weights)

h_glm_poisson(.var, .df_row, variables, weights)

h_glm_quasipoisson(.var, .df_row, variables, weights)

h_glm_negbin(.var, .df_row, variables, weights)

Arguments

.var

(string)
single variable name that is passed by rtables when requested by a statistics function.

.df_row

(data.frame)
dataset that includes all the variables that are called in .var and variables.

variables

(named list of string)
list of additional analysis variables, with expected elements:

• arm (string)
  group variable, for which the covariate adjusted means of multiple groups will be summarized. Specifically, the first level of arm variable is taken as the reference group.

• covariates (character)
  a vector that can contain single variable names (such as "X1"), and/or interaction terms indicated by "X1 * X2".

• offset (numeric)
  a numeric vector or scalar adding an offset.

distribution

(character)
a character value specifying the distribution used in the regression (Poisson, Quasi-Poisson, negative binomial).

weights

(character)
a character vector specifying weights used in averaging predictions. Number of weights must equal the number of levels included in the covariates. Weights option passed to emmeans::emmeans().

Value

• h_glm_count() returns the results of the selected model.

• h_glm_poisson() returns the results of a Poisson model.

• h_glm_quasipoisson() returns the results of a Quasi-Poisson model.

• h_glm_negbin() returns the results of a negative binomial model.

Functions

• h_glm_count(): Helper function to return the results of the selected model (Poisson, Quasi-Poisson, negative binomial).

• h_glm_poisson(): Helper function to return results of a Poisson model.

• h_glm_quasipoisson(): Helper function to return results of a Quasi-Poisson model.

• h_glm_negbin(): Helper function to return results of a negative binomial model.

See also