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
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