The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

forsearch: Diagnostic Analysis Using Forward Search Procedure for Various Models

Identifies potential data outliers and their impact on estimates and analyses. Uses the forward search approach of Atkinson and Riani, "Robust Diagnostic Regression Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics of a dataset that is to be analyzed by stats::lm(), stats::glm(), stats::nls(), nlme::lme() or survival::coxph(). Includes graphics functions to display the descriptive statistics.

Version: 6.2.0
Depends: R (≥ 4.2)
Imports: Hmisc (≥ 4.7-0), Cairo (≥ 1.6-0), formula.tools (≥ 1.7.0), ggplot2 (≥ 3.4.0), nlme (≥ 3.1-157), survival (≥ 3.4), tibble (≥ 3.1.8)
Suggests: rmarkdown, knitr
Published: 2024-07-13
DOI: 10.32614/CRAN.package.forsearch
Author: William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343 at flowervalleyconsulting.com>
License: GPL (≥ 3)
NeedsCompilation: no
SystemRequirements: gmp (>= 4.1)
Materials: README NEWS
CRAN checks: forsearch results

Documentation:

Reference manual: forsearch.pdf
Vignettes: Exploring the Search History
How Many Observations are Needed and Where Do We Get Them?
Quality control of the dataset using the forward search

Downloads:

Package source: forsearch_6.2.0.tar.gz
Windows binaries: r-devel: forsearch_6.2.0.zip, r-release: forsearch_6.2.0.zip, r-oldrel: forsearch_6.2.0.zip
macOS binaries: r-release (arm64): forsearch_6.2.0.tgz, r-oldrel (arm64): forsearch_6.2.0.tgz, r-release (x86_64): forsearch_6.2.0.tgz, r-oldrel (x86_64): forsearch_6.2.0.tgz
Old sources: forsearch archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=forsearch to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.