StatsMetric {bfw}

Predict Metric

Description

Bayesian alternative to ANOVA

Usage

StatsMetric(
  y = NULL,
  y.names = NULL,
  x = NULL,
  x.names = NULL,
  DF,
  params = NULL,
  job.group = NULL,
  initial.list = list(),
  model.name,
  jags.model,
  custom.model = NULL,
  run.robust = FALSE,
  ...
)

Arguments

y

criterion variable(s), Default: NULL

y.names

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

x

categorical variable(s), Default: NULL

x.names

optional names for categorical variable(s), 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.robust

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

...

further arguments passed to or from other methods

See Also

complete.cases, sd, aggregate, median head