wcls {MRTAnalysis}

Estimates the causal excursion effect for continuous outcome MRT

Description

Returns the estimated causal excursion effect (on additive scale) and the estimated standard error. Small sample correction using the "Hat" matrix in the variance estimate is implemented.

Usage

wcls(
  data,
  id,
  outcome,
  treatment,
  rand_prob,
  moderator_formula,
  control_formula,
  availability = NULL,
  numerator_prob = NULL,
  verbose = TRUE
)

Arguments

data

A data set in long format.

id

The subject id variable.

outcome

The outcome variable.

treatment

The binary treatment assignment variable.

rand_prob

The randomization probability variable.

moderator_formula

A formula for the moderator variables. This should start with ~ followed by the moderator variables. When set to ~ 1, a fully marginal excursion effect (no moderators) is estimated.

control_formula

A formula for the control variables. This should start with ~ followed by the control variables. When set to ~ 1, only an intercept is included as the control variable.

availability

The availability variable. Use the default value (NULL) if your MRT doesn't have availability considerations.

numerator_prob

Either a number between 0 and 1, or a variable name for a column in data. If you are not sure what this is, use the default value (NULL).

verbose

If default ('TRUE'), additional messages will be printed during data preprocessing.

Value

An object of type "wcls_fit"

Examples

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
)