inference_helper: Internal: Helper for infer()
In M-E-Steiner/cSEM: Composite-Based Structural Equation Modeling

inference_helper

R Documentation

Internal: Helper for infer()

Description

Collection of various functions that compute an inferential quantity.

Usage

MeanResample(.first_resample)

SdResample(.first_resample, .resample_method, .n)

BiasResample(.first_resample, .resample_method, .n)

StandardCIResample(
  .first_resample,
  .bias_corrected,
  .dist = c("z", "t"),
  .df = c("type1", "type2"),
  .resample_method,
  .n,
  .probs
)

PercentilCIResample(.first_resample, .probs)

BasicCIResample(.first_resample, .bias_corrected, .probs)

TStatCIResample(
  .first_resample,
  .second_resample,
  .bias_corrected,
  .resample_method,
  .resample_method2,
  .n,
  .probs
)

BcCIResample(.first_resample, .probs)

BcaCIResample(.object, .first_resample, .probs)

Arguments

`.first_resample`	A list containing the `.R` resamples based on the original data obtained by resamplecSEMResults().
`.resample_method`	Character string. The resampling method to use. One of: "none", "bootstrap" or "jackknife". Defaults to "none".
`.n`	Integer. The number of observations of the original data.
`.bias_corrected`	Logical. Should the standard and the tStat confidence interval be bias-corrected using the bootstrapped bias estimate? If `TRUE` the confidence interval for some estimated parameter `theta` is centered at `⁠2theta - theta_hat⁠`, where `⁠theta*_hat⁠` is the average over all `.R` bootstrap estimates of `theta`. Defaults to `TRUE`
`.dist`	Character string. The distribution to use for the critical value. One of "t" for Student's t-distribution or "z" for the standard normal distribution. Defaults to "z".
`.df`	Character string. The method for obtaining the degrees of freedom. Choices are "type1" and "type2". Defaults to "type1" .
`.probs`	A vector of probabilities.
`.second_resample`	A list containing `.R2` resamples for each of the `.R` resamples of the first run.
`.resample_method2`	Character string. The resampling method to use when resampling from a resample. One of: "none", "bootstrap" or "jackknife". For "bootstrap" the number of draws is provided via `.R2`. Currently, resampling from each resample is only required for the studentized confidence interval ("CI_t_interval") computed by the `infer()` function. Defaults to "none".
`.object`	An R object of class cSEMResults resulting from a call to `csem()`.