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