Create a binary outcome from linear predictors

Generates a binary outcome by summing effects, computing probabilities via the logistic function, and drawing binary outcomes.

Usage

add_binary_outcome(
  data,
  linear_col = "y_linear",
  prob_col = "y_prob",
  binary_col = "y_bin"
)

Arguments

data

A data frame containing effect columns prefixed with ".".

linear_col

Name of the column to store the summed linear predictor (default "y_linear").

prob_col

Name of the column to store probabilities (default "y_prob").

binary_col

Name of the column to store binary outcomes (default "y_bin").

Value

A tibble with added linear predictor, probability, and binary outcome columns.

Examples

df <- tibble::tibble(.beta = 0.5, .u = rnorm(5), .error = rnorm(5))
add_binary_outcome(df)
#> Error in data %>% dplyr::mutate(`:=`(!!linear_col, rowSums(dplyr::pick(all_of(dot_cols)))),     `:=`(!!prob_col, plogis(.data[[linear_col]])), `:=`(!!binary_col,         rbinom(dplyr::n(), size = 1, prob = .data[[prob_col]]))): could not find function "%>%"