StatsFit {bfw}

Fit Data

Description

Apply latent or observed models to fit data (e.g., SEM, CFA, mediation)

Usage

StatsFit(
  latent = NULL,
  latent.names = NULL,
  observed = NULL,
  observed.names = NULL,
  additional = NULL,
  additional.names = NULL,
  DF,
  params = NULL,
  job.group = NULL,
  initial.list = list(),
  model.name,
  jags.model,
  custom.model = NULL,
  run.ppp = FALSE,
  run.robust = FALSE,
  ...
)

Arguments

latent

latenr variables, Default: NULL

latent.names

optional names for for latent variables, Default: NULL

observed

observed variable(s), Default: NULL

observed.names

optional names for for observed variable(s), Default: NULL

additional

supplemental parameters for fitted data (e.g., indirect pathways and total effect), Default: NULL

additional.names

optional names for supplemental parameters, Default: NULL

DF

data to analyze

params

define parameters to observe, Default: NULL

job.group

for some hierarchical models with several layers of parameter names (e.g., latent and observed parameters), Default: NULL

initial.list

initial values for analysis, Default: list()

model.name

name of model used

jags.model

specify which module to use

custom.model

define a custom model to use (e.g., string or text file (.txt), Default: NULL

run.ppp

logical, indicating whether or not to conduct ppp analysis, Default: FALSE

run.robust

logical, indicating whether or not robust analysis, Default: FALSE

...

further arguments passed to or from other methods

See Also

complete.cases