powerPrepare: powerPrepare

In semPower: Power Analyses for SEM

powerPrepare

Description

Performs some preparations common to all types of power analyses.

Usage

powerPrepare(
  type = NULL,
  effect = NULL,
  effect.measure = NULL,
  alpha = NULL,
  beta = NULL,
  power = NULL,
  abratio = NULL,
  N = NULL,
  df = NULL,
  p = NULL,
  SigmaHat = NULL,
  Sigma = NULL,
  muHat = NULL,
  mu = NULL,
  fittingFunction = "ML",
  simulatedPower = FALSE,
  modelH0 = NULL,
  nReplications = NULL,
  minConvergenceRate = NULL,
  lavOptions = NULL
)

Arguments

type	type of power analysis
effect	effect size specifying the discrepancy between H0 and H1 (a list for multiple group models; a vector of length 2 for effect-size differences)
effect.measure	type of effect, one of "F0", "RMSEA", "Mc", "GFI", "AGFI"
alpha	alpha error
beta	beta error; set either beta or power
power	power (=1 - beta); set either beta or power
abratio	the ratio of alpha to beta
N	the number of observations (a list for multiple group models)
df	the model degrees of freedom
p	the number of observed variables, required for effect.measure = "GFI" and effect.measure = "AGFI"
SigmaHat	model implied covariance matrix (a list for multiple group models). Use in conjunction with Sigma to define effect and effect.measure.
Sigma	observed (or population) covariance matrix (a list for multiple group models). Use in conjunction with SigmaHat to define effect and effect.measure.
muHat	model implied mean vector
mu	observed (or population) mean vector
fittingFunction	one of 'ML' (default), 'WLS', 'DWLS', 'ULS'. Defines the discrepancy function used to obtain Fmin.
simulatedPower	whether to perform a simulated (TRUE) (rather than analytical, FALSE) power analysis.
modelH0	for simulated power: lavaan model string defining the (incorrect) analysis model.
nReplications	for simulated power: number of random samples drawn.
minConvergenceRate	for simulated power: the minimum convergence rate required
lavOptions	for simulated power: a list of additional options passed to lavaan, e. g., list(estimator = 'mlm') to request robust ML estimation.

Value

list

semPower documentation built on Nov. 15, 2023, 1:08 a.m.