reanalyse.powerNLSEM: Reanalyse powerNLSEM object

Description

Reanalyse powerNLSEM object

Usage

reanalyse.powerNLSEM(
  out,
  test = NULL,
  powerLevels = NULL,
  power_modeling_method = NULL,
  alpha = NULL,
  alpha_power_modeling = NULL
)

Value

Returns list of desired sample sizes per effect for each powerLevel. Nall refers to the sample size required per power level for all coefficients. Npower is a matrix containing the desired sample sizes per effect for every power level.

Arguments

out: object of class powerNLSEM
test: Should the parameter be tested with a directed hypothesis (onesided) or with an undirected hypothesis (twosided, also equivalent to Wald-Test for single parameter). Default to NULL, then the same as in fitted powerNLSEM object is used.
powerLevels: Power levels for which the desired sample sizes should be computed. Needs to be a vector. Default to NULL indicating to use same power rate used in powerNLSEM object.
power_modeling_method: Character indicating the power modeling method used. Default to NULL, indicating to use the same power modeling method as was used in the powerNLSEM object.
alpha: Type I-error rate for significance decision. Default to .05.
alpha_power_modeling: Type I-error rate for confidence band around predicted power rate. Used to ensure that the computed N keeps the desired power value (with the given Type I-error rate alpha_power_modeling divided by 2). If set to 1, no confidence band is used. Default to .05.