search for: savesplitstats

..., either through options or editing out code and recompiling them, I can reduce their footprint? I've had a look at the cforest code and the culprit is the 'emsemble' area of the object. I suspect this part of the object contains something related to the number of observations (I have savesplitstats set to FALSE so this shouldn't be the issue). Thanks, Matt [[alternative HTML version deleted]]

...randomForest invalid? and 2. I know that cforest is robust to highly correlated variables, however, I do not have enough space on my machine to run cforest. I used the keep.forest = false option when using randomForest and that solved my space issue. Is there a similar option for cforest (besides savesplitstats = FALSE, which isn't helping) below is my code and error message Thanks in advance! > fit <- cforest(formula = y ~ x1 + x2+ x3+ x4+ x5+ + x6+ x7+ x8+ x9+ x10, data=data, control= cforest_unbiased(savesplitstats = FALSE, ntree = 50, mtry = 5) 1: In mf$data <- data : Reached total...

...hat cforest is robust to highly correlated > variables, > however, I do not have enough space on my machine to run cforest. > I used the > keep.forest = false option when using randomForest and that solved > my space > issue. Is there a similar option for cforest (besides > savesplitstats = > FALSE, which isn't helping) no. party was designed as a flexible research tool and is not optimized wrt speed or memory consumption. Best, Torsten > > below is my code and error message > > Thanks in advance! > >> fit <- cforest(formula = y ~ x1 + x2+ x3+ x4+...

...od prognosis based on survival data. I am using function "ctree" from the "party" package. I came up with this command: test <- ctree(Surv(time, event)~., data =data.test, controls=ctree_control(teststat="max", testtype="Bonferroni", mincriterion=0.95,savesplitstats = TRUE), ytrafo = function(data)trafo(data, numeric_trafo = rank), xtrafo=function(data)trafo(data, surv_trafo=logrank_trafo(data, ties.method = "logrank")) ) which works well but as I am not a statistician it is quite confusing and i might not run it properly. My technical problem is...