Alexander Kowarik
Alexander Kowarik
looking at #73 and #74 maybe what we really should do is consolidating it into a new function and deprecating some functions (irmi, rangerImpute and regressionImpute) ? @matthias-da @GregorDeCillia @JohannesGuss...
transform xgboostImpute and rangerImpute into a generic function with methods for formula and data
@GregorDeCillia I included a new function xgboostImpute very similar to your rangerImpute function. On first sight, it performs very well. The functions take formulas as first input. To make it...
Error in finalizer(env) : Inconsistent 'best_score' values between the closure state: 7590.875488 and the xgb.attr: 7590.875488
From the vignette of NADA2: Line 535-541 ``` data(Example1, package = "NADA2") enparCensored(Example1$Arsenic, Example1$NDisTRUE, ci=TRUE, ci.method="bootstrap", ci.type="upper", n.bootstraps=5000) ``` Error in r - m[-1] : non-numeric argument to binary operator