forsearch: Outlier Diagnostics for Some Linear Effects and Linear Mixed Effects 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(), or nlme::lme(). Includes graphics functions to display the descriptive statistics.

Version:	2.3.0
Depends:	R (≥ 2.10)
Imports:	Hmisc (≥ 4.6-0), Cairo (≥ 1.5-14), ggplot2 (≥ 3.3.5), nlme (≥ 3.1-152), tibble (≥ 3.1.6)
Suggests:	rmarkdown, knitr
Published:	2022-04-24
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:	Quality Control of the Dataset

Downloads:

Package source:	forsearch_2.3.0.tar.gz
Windows binaries:	r-devel: forsearch_2.3.0.zip, r-release: forsearch_2.3.0.zip, r-oldrel: forsearch_2.3.0.zip
macOS binaries:	r-release (arm64): forsearch_2.3.0.tgz, r-oldrel (arm64): forsearch_2.3.0.tgz, r-release (x86_64): forsearch_2.3.0.tgz, r-oldrel (x86_64): forsearch_2.3.0.tgz
Old sources:	forsearch archive

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