[R-pkgs] Major update to rms package

[Frank Harrell]

A new version of rms is now available on CRAN for Linux and Windows (Mac  
will probably be available very soon). Largest changes include latex  
methods for validate.* and adding the capability to force a subset of  
variables to be included in all backwards stepdown models (single model or  
validation by resampling).

Recent updates:

    * In survplot.rms, fixed bug (curves were undefined if conf='bands' and  
labelc was FALSE)
    * In survfit.cph, fixed bug by which n wasn't always defined
    * In cph, put survival::: on exact fit call
    * Quit ignoring zlim argument in bplot; added xlabrot argument
    * Added caption argument for latex.anova.rms
    * Changed predab to not print summaries of variables selected if bw=TRUE
    * Changed predab to pass force argument to fastbw
    * fastbw: implemented force argument
    * Added force argument to validate.lrm, validate.bj, calibrate.default,  
calibrate.cph, calibrate.psm, validate.bj, validate.cph, validate.ols
    * print.validate: added B argument to limit how many resamples are  
printed summarizing variables selected if BW=TRUE
    * print.calibrate, print.calibrate.default: added B argument
    * Added latex method for results produced by validate functions
    * Fixed survest.cph to convert summary.survfit std.err to log S(t) scale
    * Fixed val.surv by pulling surv object from survest result
    * Clarified in predict.lrm help file that doesn't always use the first  
intercept
    * lrm.fit, lrm: linear predictor stored in fit object now uses first  
intercept and not middle one (NOT DOWNWARD COMPATIBLE but makes predict  
work when using stored linear.predictors)
    * Fixed argument consistency with validate methods


More information is at http://biostat.mc.vanderbilt.edu/Rrms

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