[R-pkgs] New version of rms package now on CRAN

Frank E Harrell Jr f.harrell at Vanderbilt.Edu
Wed Feb 24 19:38:50 CET 2010

Version 2.2-0 of the rms package is now available.  This is a somewhat 
major update.  One major change is not downward compatible: Instead of 
specifying predictor=. or predictor=NA to Predict, summary, nomogram, 
survplot, gendata, you just specify the name of the predictor.  For 
example, to get predictions for the default range of x1 and for just 2 
values of x2 you might specify Predict(fit, x1, x2=c(1,3)).  The next 
major change is the use of lattice graphics in bplot, so that now you 
can easily make multi-panel 3-D displays of effects in the fitted model.

The package's web site is http://biostat.mc.vanderbilt.edu/rms

Here is what's new:

    * Added levels.only option to survplot.* to remove variablename= 
from curve labels
    * Added digits argument to calibrate.default
    * Added new ref in val.prob help page
    * Corrected location of dataset in residuals.lrm help page (thanks 
frederic.holzwarth at bgc-jena.mpg.de)
    * Fixed latex.rms to latex-escape percent signs inside value labels
    * Added scat1d.opts to plot.Predict
    * Changed method of specifying variables to vary by not requiring an 
equals sign and a dot after the variable name, for Predict, summary, 
nomogram, gendata, survplot.rms
    * Added factors argument to Predict to handle the above for survplot
    * Made gendata a non-generic function, changed the order of its 
arguments, removed editor options, relying on R de function always
    * Thanks to Kevin Thorpe <kevin.thorpe at utoronto.ca> to make 
latex.summary.rms and latex.anova.rms respect the table.env argument
    * Fixed bug in calibrate.default related to digits argument
    * Re-wrote bplot to use lattice graphics (e.g., levelplot 
contourplot wireframe), allowing for multiple panels for 3-d plots
    * Changed all Rd files to use {arg1,arg2,...} instead of having empty {}

Frank E Harrell Jr   Professor and Chairman        School of Medicine
                      Department of Biostatistics   Vanderbilt University

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