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), (≥ 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>
License: GPL (≥ 3)
NeedsCompilation: no
SystemRequirements: gmp (>= 4.1)
Materials: README NEWS
CRAN checks: forsearch results


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


Package source: forsearch_6.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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