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: |
2.2.0 |
| 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: |
2022-03-27 |
| 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:
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