mob_control {party} | R Documentation |
Various parameters that control aspects the fitting algorithm
for recursively partitioned mob
models.
mob_control(alpha = 0.05, bonferroni = TRUE, minsplit = 20, objfun = deviance, breakties = FALSE, verbose = FALSE)
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? |
See mob
for more details and references.
A list of class mob_control
containing the control parameters.