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Pursuit  

Projection Pursuit
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Pursuit", "1.0.9")



Attach the package and use:
library("Pursuit")
Maintained by
Paulo Cesar Ossani
[Scholar Profile | Author Map]
First Published: 2019-09-20
Latest Update: 2023-08-19
Description:
Projection pursuit (PP) with 17 methods and grand tour with 3 methods. Being that projection pursuit searches for low-dimensional linear projections in high-dimensional data structures, while grand tour is a technique used to explore multivariate statistical data through animation.
How to cite:
Paulo Cesar Ossani (2019). Pursuit: Projection Pursuit. R package version 1.0.9, https://cran.r-project.org/web/packages/Pursuit. Accessed 08 May. 2025.
Previous versions and publish date:
1.0.0 (2019-09-20 18:40), 1.0.1 (2020-03-24 21:20), 1.0.2 (2021-01-10 17:00), 1.0.3 (2022-10-18 10:05), 1.0.4 (2023-08-19 23:32), 1.0.5 (2024-06-21 18:00), 1.0.6 (2025-04-04 22:40)
Other packages that cited Pursuit R package
View Pursuit citation profile
Other R packages that Pursuit depends, imports, suggests or enhances
Complete documentation for Pursuit
Functions, R codes and Examples using the Pursuit R package
Some associated functions: GrandTour_English . LocLab_English . PP_Index_English . PP_Optimizer_English . Plot.PP_English . Pursuit-package . 
Some associated R codes: GrandTour_English.R . LocLab_English.R . PP_Index_English.R . PP_Optimizer_English.R . Plot.PP_English.R .  Full Pursuit package functions and examples
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