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Function to return the estimated means using predicted probabilities

Source: R/summarize_glm_count.R
h_ppmeans.Rd

For each arm level, the predicted mean rate is calculated using the fitted model object, with newdata set to the result of stats::model.frame, a reconstructed data or the original data, depending on the object formula (coming from the fit). The confidence interval is derived using the conf_level parameter.

Usage 

h_ppmeans(obj, .df_row, arm, conf_level)

Arguments

obj

(glm.fit)
fitted model object used to derive the mean rate estimates in each treatment arm.

.df_row

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

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.

conf_level

(proportion)
value used to derive the confidence interval for the rate.

Value

  • h_ppmeans() returns the estimated means.

See also

summarize_glm_count().