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.holzwa...@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.tho...@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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