summary.emee_fit {MRTAnalysis}

Summarize Causal Excursion Effect Fits for MRT with Binary Outcomes

Description

summary method for class "emee_fit".

Usage

## S3 method for class 'emee_fit'
summary(
  object,
  lincomb = NULL,
  conf_level = 0.95,
  show_control_fit = FALSE,
  ...
)

Arguments

object

An object of class "emee_fit".

lincomb

A vector of length p (p is the number of moderators including intercept) or a matrix with p columns. When not set to 'NULL', the summary will include the specified linear combinations of the causal excursion effect coefficients and the corresponding confidence interval, standard error, and p-value.

conf_level

A numeric value indicating the confidence level for confidence intervals. Default to 0.95.

show_control_fit

A logical value of whether the fitted coefficients for the control variables will be printed in the summary. Default to FALSE. (Interpreting the fitted coefficients for control variables is not recommended.)

...

Further arguments passed to or from other methods.

Value

the original function call and the estimated causal excursion effect coefficients, confidence interval with conf_level, standard error, t-statistic value, degrees of freedom, and p-value.

Examples

fit <- emee(
    data = data_binary,
    id = "userid",
    outcome = "Y",
    treatment = "A",
    rand_prob = "rand_prob",
    moderator_formula = ~time_var1,
    control_formula = ~ time_var1 + time_var2,
    availability = "avail",
    numerator_prob = 0.5,
    start = NULL
)
summary(fit)