Simple, multiple and hierarchical regression
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(),
...
)
criterion variable(s), Default: NULL
optional names for criterion variable(s), Default: NULL
predictor variable(s), Default: NULL
optional names for predictor variable(s), Default: NULL
define number of steps in hierarchical regression , Default: NULL
define which predictors are included in each step (e.g., for three steps "1,2,3") , Default: NULL
data to analyze
define parameters to observe, Default: NULL
for some hierarchical models with several layers of parameter names (e.g., latent and observed parameters), Default: NULL
initial values for analysis, Default: list()
further arguments passed to or from other methods