summary.wcls_fit {MRTAnalysis} | R Documentation |
Summarize Causal Excursion Effect Fits for MRT with Continuous Outcomes
Description
summary
method for class "wcls_fit".
Usage
## S3 method for class 'wcls_fit'
summary(
object,
lincomb = NULL,
conf_level = 0.95,
show_control_fit = FALSE,
...
)
Arguments
object |
An object of class "wcls_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, 95 value or Wald-statistic value (depending on whether sample size is < 50), degrees of freedom, and p-value.
Examples
fit <- wcls(
data = data_mimicHeartSteps,
id = "userid",
outcome = "logstep_30min",
treatment = "intervention",
rand_prob = 0.6,
moderator_formula = ~1,
control_formula = ~logstep_pre30min,
availability = "avail",
numerator_prob = 0.6
)
summary(fit)