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", "0.1.8") 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 0.1.8, https://cran.r-project.org/web/packages/veesa. Accessed 10 Nov. 2026.
Previous versions and publish date:
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
Today's Hot Picks in Authors and Packages
cosinor2
Statistical procedures for calculating population ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Augustin Mutak (view profile)
MazamaSpatialUtils
A suite of conversion functions to create internally standardized
spatial polygons data frames. Uti ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jonathan Callahan (view profile)
rbooster
This is a simple package which provides a function
that boosts pre-ready or custom-made classifiers ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Fatih Saglam (view profile)
OBIC
The Open Bodem Index (OBI) is a method to evaluate the quality of soils of agricultural fields in Th ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sven Verweij (view profile)
CNLTtsa
Implementations of recent complex-valued wavelet spectral procedures for analysis of irregularly sam ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Matt Nunes (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
29,369
R Packages
247,686
Dependencies
77,665
Author Associations
29,370
Publication Badges
