mob_control: Control Parameters for Model-based Partitioning
Description
Various parameters that control aspects the fitting algorithm
for recursively partitioned mob
models.Usage
mob_control(alpha = 0.05, bonferroni = TRUE, minsplit = 20,
objfun = deviance, breakties = FALSE, verbose = FALSE)
Arguments
alpha
numeric significance level. A node is splitted when
the (possibly Bonferroni-corrected) $p$ value for any parameter
stability test in that node falls below alpha
.
bonferroni
logical. Should $p$ values be Bonferroni corrected?
minsplit
integer. The minimum number of observations (sum of the
weights) in a node.
objfun
function. A function for extracting the minimized value of
the ojbective function from a fitted model in a node.
breakties
logical. Should ties in numeric variables be broken
randomly for computing the associated parameter instability test?
verbose
logical. Should information about the fitting process
of mob
(such as test statistics, $p$ values, selected
splitting variables and split points) be printed to the screen? Value
- A list of class
mob_control
containing the control parameters.
Details
See mob
for more details and references.