StatsRegression {bfw} | R Documentation |
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
[Package bfw version 0.4.2 Index]