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forsearch  

Diagnostic Analysis Using Forward Search Procedure for Various Models
View on CRAN: Click here


Download and install forsearch package within the R console
Install from CRAN:
install.packages("forsearch")

Install from Github:
library("remotes")
install_github("cran/forsearch")

Install by package version:
library("remotes")
install_version("forsearch", "6.4.0")



Attach the package and use:
library("forsearch")
Maintained by
William Fairweather
[Scholar Profile | Author Map]
First Published: 2022-01-28
Latest Update: 2023-08-09
Description:
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, 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.
How to cite:
William Fairweather (2022). forsearch: Diagnostic Analysis Using Forward Search Procedure for Various Models. R package version 6.4.0, https://cran.r-project.org/web/packages/forsearch. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.0.0 (2022-01-28 22:20), 2.0.0 (2022-03-16 14:10), 2.1.0 (2022-03-18 11:20), 2.2.0 (2022-03-28 01:30), 2.3.0 (2022-04-24 17:50), 3.0.0 (2022-12-14 19:00), 3.0.1 (2023-01-05 18:50), 3.1.0 (2023-02-17 10:00), 3.2.0 (2023-02-19 14:10), 3.3.0 (2023-03-06 19:50), 4.0.0 (2023-08-10 00:30), 4.1.0 (2023-09-12 22:00), 4.2.0 (2023-11-06 17:40), 5.0.0 (2024-01-14 19:20), 5.1.0 (2024-02-16 20:00), 6.0.0 (2024-03-31 05:30), 6.1.0 (2024-06-22 20:20), 6.2.0 (2024-07-13 17:00), 6.3.0 (2024-11-16 15:20)
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Complete documentation for forsearch
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