Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Regression modeling, testing, estimation, validation,
graphics, prediction, and typesetting by storing enhanced model design
attributes in the fit.  Design is a collection of about 180 functions
that assist and streamline modeling, especially for biostatistical and
epidemiologic applications.  It also contains new functions for binary
and ordinal logistic regression models and the Buckley-James multiple
regression model for right-censored responses, and implements
penalized maximum likelihood estimation for logistic and ordinary
linear models.  Design works with almost any regression model, but it
was especially written to work with logistic regression, Cox
regression, accelerated failure time models, ordinary linear models,
the Buckley-James model, and generalized least squares for
serially or spatially correlated observations.