h_glm_count {tern} | R Documentation |
Helper functions for Poisson models
Description
Helper functions that can be used to return the results of various Poisson models.
Usage
h_glm_poisson(.var, .df_row, variables, weights)
h_glm_quasipoisson(.var, .df_row, variables, weights)
h_glm_negbin(.var, .df_row, variables, weights)
h_glm_count(.var, .df_row, variables, distribution, weights)
h_ppmeans(obj, .df_row, arm, conf_level)
Arguments
.var |
( |
.df_row |
( |
variables |
(named
|
weights |
( |
distribution |
( |
obj |
( |
arm |
( |
conf_level |
( |
Value
-
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.
-
h_glm_count()
returns the results of the selected model.
-
h_ppmeans()
returns the estimated means.
Functions
-
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. -
h_glm_count()
: Helper function to return the results of the selected model (Poisson, Quasi-Poisson, negative binomial). -
h_ppmeans()
: Helper function to return the estimated means.