compute_statistics: Compute Power, Type I Error, or Precision Statistics
In lebebr01/simglm: Simulate Models Based on the Generalized Linear Model

compute_statistics

R Documentation

Compute Power, Type I Error, or Precision Statistics

Description

Compute Power, Type I Error, or Precision Statistics

Usage

compute_statistics(
  data,
  sim_args,
  power = TRUE,
  type_1_error = TRUE,
  precision = TRUE,
  alternative_power = FALSE,
  type_s_error = FALSE,
  type_m_error = FALSE
)

Arguments

`data`	A list of model results generated by `replicate_simulation` function.
`sim_args`	A named list with special model formula syntax. See details and examples for more information. The named list may contain the following: fixed: This is the fixed portion of the model (i.e. covariates) random: This is the random portion of the model (i.e. random effects) error: This is the error (i.e. residual term).
`power`	TRUE/FALSE flag indicating whether power should be computed. Defaults to TRUE.
`type_1_error`	TRUE/FALSE flag indicating whether type I error rate should be computed. Defaults to TRUE.
`precision`	TRUE/FALSE flag indicating whether precision should be computed. Defaults to TRUE.
`alternative_power`	TRUE/FALSE flag indicating whether alternative power estimates should be computed. If TRUE, this must be accompanied by thresholds specified within the power simulation arguments. Defaults to FALSE.
`type_s_error`	TRUE/FALSE flag indicating whether Type S error should be computed. Defaults to FALSE.
`type_m_error`	TRUE/FALSE flag indicating whether Type M error should be computed. Defaults to FALSE.