Workaround missing support for as.formula in R package maxlike version 0.1-5

Today I noticed that the predict function for maxlike didn't support models build with formulas from "as.formula". The error I got was:

Error in predict.maxlikeFit(model, data.frame(p), ...) : 
  at least 1 covariate in the formula is not in rasters.

I send in a pull request but in the mean time you can workaround this problem with the following wrapper for the maxlike function:

## workaround missing support for as.formula in maxlike
maxlike <- function(formula, ...) {
  m <- maxlike::maxlike(formula, ...)
  m$call$formula <- formula
  return(m)
}

Workaround "n.trees" is missing in R package gbm version 2.1.1

Just short note to anyone encountering following error in the gbm package version 2.1.1:

 Error in paste("Using", n.trees, "trees...\n") : 
  argument "n.trees" is missing, with no default 

This issue will be fixed in the next version but in the mean time I'll post my workaround. If you add following function to your code then everything should work:

## work around bug in gbm 2.1.1
predict.gbm <- function (object, newdata, n.trees, type = "link", single.tree = FALSE, ...) {
  if (missing(n.trees)) {
    if (object$train.fraction < 1) {
      n.trees <- gbm.perf(object, method = "test", plot.it = FALSE)
    }
    else if (!is.null(object$cv.error)) {
      n.trees <- gbm.perf(object, method = "cv", plot.it = FALSE)
    }
    else {
      n.trees <- length(object$train.error)
    }
    cat(paste("Using", n.trees, "trees...\n"))
    gbm::predict.gbm(object, newdata, n.trees, type, single.tree, ...)
  }
}