gbm: Generalized Boosted Regression Models

gbm 2.1.5

Fixed bug that occurred whenever distribution was a list (e.g., "pairwise" regression) (#27).
Fixed a bug that occurred when making predictions on new data with different factor levels (#28).
Fixed a bug that caused relative.influence() to give different values whenever n.trees was/wasn't given for multinomial distributions (#31).
The plot.it argument of gbm.perf() is no longer ignored (#34).
Fixed an error that occurred in gbm.perf() whenever oobag.curve = FALSE and overlay = FALSE.

Switched from CHANGES to NEWS file.
Updated links and maintainer field in DESCRIPTION file.
Fixed bug caused by factors with unused levels (#5).
Fixed bug with axis labels in the plot() method for "gbm" objects (#17).
The plot() method for "gbm" objects is now more consistent and always returns a "trellis" object (#19). Consequently, setting graphical parameters via par will no longer have an effect on the output from plot.gbm.
The plot() method for "gbm" objects gained five new arguments: level.plot, contour, number, overlap, and col.regions; see ?plot.gbm for details.
The default color palette for false color level plots in plot.gbm() has changed to the Matplotlib 'viridis' color map.
Fixed a number of references and URLs.