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visualpred
View on CRAN: Click
here
Download and install visualpred package within the R console
Install from CRAN:
install.packages("visualpred")
Install from Github:
library("remotes")
install_github("cran/visualpred")
Install by package version:
library("remotes")
install_version("visualpred", "0.1.0")
Attach the package and use:
library("visualpred")
Maintained by
Javier Portela
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-24
Latest Update: 2020-10-24
Description:
Visual 2D point and contour plots for binary classification modeling under algorithms such as glm(), randomForest(), gbm(), nnet() and svm(), presented over two dimensions generated by FAMD and MCA methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses.
How to cite:
Javier Portela (2020). visualpred: Visualization 2D of Binary Classification Models. R package version 0.1.0, https://cran.r-project.org/web/packages/visualpred
Previous versions and publish date:
No previous versions
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View visualpred citation profile
Other R packages that visualpred depends,
imports, suggests or enhances
Functions, R codes and Examples using
the visualpred R package
Some associated functions: Hmda . breastwisconsin1 . famdcontour . famdcontourlabel . mcacontour . mcacontourjit . mcamodelobis . nba . pima . spiral .
Some associated R codes: Hmda.R . breast.R . famdcontour.R . famdcontourlabel.R . mcacontour.R . mcacontourjitter.R . mcamodelo.R . nba.R . pima.R . spiral.R . Full visualpred package functions and examples
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