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