StatsRegression: Regression

Description Usage Arguments See Also

View source: R/stats_regression.R

Description

Simple, multiple and hierarchical regression

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
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 Jan. 11, 2020, 9:29 a.m.