pre_sens {prepost}R Documentation

Run sensitivity analysis on pre-test design

Description

Run sensitivity analysis on pre-test design

Usage

pre_sens(
  formula,
  data,
  moderator,
  t_by = 0.05,
  conf_level = 0.95,
  outcome_mono = 1L
)

Arguments

formula

A formula with syntax y ~ t, where y is the (unquoted) name of the outcome and t is the (unquoted) name of the treatment.

data

A data.frame containing variables in the formula, moderator, and covariates arguments.

moderator

A one-sided formuala with syntax ~ d, where d is the (unquoted) name of the moderator variable for the CATE.

t_by

Numeric indicating the grid spacing for the \theta parameter that restricts what proportion of units have their outcomes affected by the pre vs post-measurement of the moderator.

conf_level

A numeric indicating the confidence level for the bootstrap confidence intervals.

outcome_mono

A integer indicating the direction of the priming monotonicity assumption. The default value 1 indicates that asking the moderator question in the pre-test moves outcomes in a positive direction for all units. The value -1 indicates it moves outcomes in a negative direction for all units.

Value

A list object containing sensitivity output.

Examples

pre_sens(formula = angry_bin ~ t_commonality,
  data = delponte,
  moderator = ~ itaid_bin,
  t_by = 0.1
)

[Package prepost version 0.3.0 Index]