Package: Design
Version: 2.1-2
Date: 2008-11-04
Title: Design Package
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Maintainer: Charles Dupont <charles.dupont@vanderbilt.edu>
Depends: Hmisc (>= 3.4-0), survival
Suggests: MASS, rpart, nlme
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
LazyLoad: yes
Packaged: Tue Nov  4 11:41:46 2008; dupontct

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
regression, accelerated failure time models, ordinary linear
models, the Buckley-James model, and generalized least squares
for serially or spatially correlated observations.

Title: Parameters of the Experimental Designs
Authors@R: c(person("Vinaykumar","L.N.", email="vinaymandya123@gmail.com", role = c( "aut","cre")), person("Vinayaka", email="vinayaka.b3vs@gmail.com" , role = c( "aut","ctb")),person("Dalal", "Ashutosh", email="ashutosh.dalal97@gmail.com" , role = c( "aut","ctb")))
Description: Here, a function has been developed to generate parameters of the input designs, as well as incidence matrices. This is a general function that can be used to investigate the characterization properties of any block design.
Packaged: 2022-10-02 07:28:08 UTC; Vinaykumar LN