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Add

`min\_update`

parameter; model parameters are only updated when the number of observations in a node exceeds this number. Defaults to two times the number of parameters in the model.Failure to update model parameters lead to a stop in tree recursion. Following a remark by Stefan Wager, the parameters from the parent node are now used in such a case, allowing larger trees to be grown by keeping the scores constant. Note that

`update = FALSE`

triggers this behaviour in all nodes below the root node.

Add R code reproducing empirical results for "Survival Forests under Test".

Respect

`scale`

argument from`object`

.`traforest`

broke in extremely rare cases due to incorrect dimensions of the score matrix.

All reparameterisation for max-type tests; this might give better (more powerful) variable selection.

Allow fixed coefficients in trees and forests; this is useful for log-rank splitting, for example.

Document

`predict`

and`logLik`

methods.Add

`applyfun`

and`cores`

arguments to`predict`

method for transformation forests (allowing parallel computation of predictions.

Some improvements in internal functions.

Simulations with 500 (not 50) noise variables.

Simplify likelihood evaluations based on new capabilities in mlt.

New

`update`

argument for transformation forests.Update outputs (

`scale = TRUE`

in partykit 1.2-1).

The trtf package was first published on CRAN.