person( given="William", family="Herrera-Caceres", role=c("aut", "cre"), email="williamandresh@hotmail.com")
Description: Exploratory analysis of a data base. Using the functions of this package is possible to filter the data set detecting atypical values (outliers) and to perform exploratory analysis through visual inspection or dispersion measures. With this package you can explore the structure of your data using several parameters at the same time joining statistical parameters with different graphics. Finally, this package aid to confirm or reject the hypothesis that your data structure presents a normal distribution. Therefore this package is useful to get a previous insight of your data before to carry out statistical analysis.
Imports: stats (>= 3.6.3), graphics (>= 3.6.3)
Author: William Herrera-Caceres [aut, cre]

Package: Design
Version: 2.0-0
Date: 2003-07-29
Title: Design Package
Author: Frank E Harrell Jr <fharrell@virginia.edu>
Maintainer: Frank E Harrell Jr <fharrell@virginia.edu>
Depends: R (>= 1.6), Hmisc (>= 2.0-0), survival
Description: 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,
and the Buckley-James model.
License: GPL version 2 or newer
URL: http://hesweb1.med.virginia.edu/biostat/rms

Package: Design
Version: 2.0-11
Date: 2005-04-21
Title: Design Package
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Maintainer: Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Depends: Hmisc (>= 3.0-0), survival
Description: 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.
License: GPL version 2 or newer
URL: http://biostat.mc.vanderbilt.edu/s/Design,
http://biostat.mc.vanderbilt.edu/rms
Packaged: Thu Apr 21 16:32:39 2005; harrelfe