R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
veesa
View on CRAN: Click
here
Download and install veesa package within the R console
Install from CRAN:
install.packages("veesa")
Install from Github:
library("remotes")
install_github("cran/veesa")
Install by package version:
library("remotes")
install_version("veesa", "0.1.6")
Attach the package and use:
library("veesa")
Maintained by
Katherine Goode
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-17
Latest Update: 2025-01-17
Description:
Implements the Variable importance Explainable Elastic Shape Analysis pipeline for explainable machine learning with functional data inputs. Converts training and testing data functional inputs to elastic shape analysis principal components that account for vertical and/or horizontal variability. Computes feature importance to identify important principal components and visualizes variability captured by functional principal components. See Goode et al. (2025) <doi:10.48550/arXiv.2501.07602> for technical details about the methodology.
How to cite:
Katherine Goode (2025). veesa: Pipeline for Explainable Machine Learning with Functional Data. R package version 0.1.6, https://cran.r-project.org/web/packages/veesa. Accessed 17 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited veesa R package
View veesa citation profile
Other R packages that veesa depends,
imports, suggests or enhances
Complete documentation for veesa
Functions, R codes and Examples using
the veesa R package
Full veesa package
functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
officedown
Allows production of 'Microsoft' corporate documents from 'R Markdown' by
reusing formatting define ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Gohel (view profile)
RecordTest
Statistical tools based on the probabilistic properties of the
record occurrence in a sequence of i ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jorge Castillo-Mateo (view profile)
mcmcse
Provides tools for computing Monte Carlo standard
errors (MCSE) in Markov chain Monte Carlo (MCMC) ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Dootika Vats (view profile)
vrtest
Acollection of statistical tests for martingale difference hypothesis, including automatic portmante ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jae H. Kim (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
23,712
R Packages
204,958
Dependencies
64,332
Author Associations
23,631
Publication Badges
![happy holidays](/assets/christmaslogo2.png)