StatsRegression: Regression

In bfw: Bayesian Framework for Computational Modeling

Regression

Description

Simple, multiple and hierarchical regression

Usage

StatsRegression(
  y = NULL,
  y.names = NULL,
  x = NULL,
  x.names = NULL,
  x.steps = NULL,
  x.blocks = NULL,
  DF,
  params = NULL,
  job.group = NULL,
  initial.list = list(),
  ...
)

Arguments

y	criterion variable(s), Default: NULL
y.names	optional names for criterion variable(s), Default: NULL
x	predictor variable(s), Default: NULL
x.names	optional names for predictor variable(s), Default: NULL
x.steps	define number of steps in hierarchical regression , Default: NULL
x.blocks	define which predictors are included in each step (e.g., for three steps "1,2,3") , 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()
...	further arguments passed to or from other methods

See Also

complete.cases

bfw documentation built on March 18, 2022, 6:19 p.m.