Design
2.3-0Design Package
Overview
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.
Install
Health
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Documentation
- Examples that run
- 82%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 34%
Downloads
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Code & Tests
People & History
11 releases. Pick two to compare their code metrics. R releases are shown for context.
- 2.3-0archived2009-09-18 · diff ↗
- RR 2.9.0 released · 2009-04-17
- 2.3-02008-12-26 · diff ↗
- 2.2-02008-12-26 · diff ↗
- 2.1-22008-11-04 · diff ↗
- RR 2.8.0 released · 2008-10-20
- RR 2.7.0 released · 2008-04-22
- RR 2.6.0 released · 2007-10-03
- 2.1-12007-06-14 · diff ↗
- RR 2.5.0 released · 2007-04-24
- RR 2.4.0 released · 2006-10-03
- RR 2.3.0 released · 2006-04-24
- RR 2.2.0 released · 2005-10-06
- 2.0-122005-09-15 · diff ↗
- 2.0-112005-04-21 · diff ↗
- RR 2.1.0 released · 2005-04-18
Package metadata
- Total releases
- 11
- License
- GPL (>= 2) OSI
- Download size
- not tracked yet
- Installed size
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- With dependencies
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