Structural Equations Models — pamlsem • pamlj

Power analysis for structural equation models estimated via the RMSEA-based method or Monte Carlo simulation.

pamlsem(
  aim = "n",
  code = "",
  fonts = "small",
  toggle = FALSE,
  power = 0.9,
  n = 100,
  sig.level = 0.05,
  alternative = "two.sided",
  estimator = "ML",
  standardized = TRUE,
  inspect_sigma = FALSE,
  inspect_lvcov = FALSE,
  inspect_zbeta = FALSE,
  method = "analytic",
  mc_test = "lrt",
  mcR = 500,
  parallel = TRUE,
  set_seed = FALSE,
  seed = 42,
  table_pwbyn = TRUE,
  plot_ncurve = FALSE,
  plot_log = FALSE,
  plot_palette = "viridis",
  plot_x = "none",
  plot_y = "none",
  plot_custom_labels = FALSE,
  plot_z = "none",
  plot_x_from = 0,
  plot_x_to = 0,
  plot_z_lines = 1,
  plot_z_value = list(),
  plot_to_table = FALSE,
  explain = FALSE,
  lav_diagram = TRUE,
  diag_size = "medium",
  .interface = "jamovi",
  .caller = "pamlsem"
)

Arguments

aim: The aim of the analysis: n (default) for sample size, power to estimate power
code: .
fonts: .
toggle: .
power: Minimal desired power
n: Sample size
sig.level: Type I error rate (significance cut-off or alpha)
alternative: Two-tailed vs one-tailed test
estimator: Estimator method used in SEM. ML for Maximum Likelihood
standardized: Assume the observed variables are standardized (TRUE) or not (FALSE)
inspect_sigma: not used in R
inspect_lvcov: not used in R
inspect_zbeta: not used in R
method: Use analytic methods for computation of power parameter (analytic) or Monte Carlo (mc)
mc_test: which test is used in Monte Carlo simulations: lrt for LRT or score for the Score test.
mcR: Number of repetitions for Monte Carlo method
parallel: Logical: should parallel computing be used for the Monte Carlo method
set_seed: not used in R
seed: not used in R
table_pwbyn: .
plot_ncurve: .
plot_log: .
plot_palette: .
plot_x: .
plot_y: .
plot_custom_labels: .
plot_z: .
plot_x_from: .
plot_x_to: .
plot_z_lines: .
plot_z_value: .
plot_to_table: .
explain: not used in R
lav_diagram: Output the path diagram corresponding to the input model
diag_size: Size of the path diagram boxes: small, medium, large
.interface: Used for internal purposes
.caller: Used for internal purposes

Value

A results object containing:

`results$intro`					a html
`results$extrainfo`					a html
`results$issues`					a html
`results$initnotes`					a html
`results$diagram`					an image
`results$powertab`					a table
`results$powerbyn`					a table
`results$implied$covs`					a table
`results$implied$lvcovs`					a table
`results$implied$betas`					a table
`results$plotnotes`					a html
`results$powerNcurve`					an image
`results$powerCustom`					an image
`results$customnotes`					a html
`results$customtable`					a table

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$powertab$asDF

as.data.frame(results$powertab)