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
rsparse
View on CRAN: Click
here
Download and install rsparse package within the R console
Install from CRAN:
install.packages("rsparse")
Install from Github:
library("remotes")
install_github("cran/rsparse")
Install by package version:
library("remotes")
install_version("rsparse", "0.5.3")
Attach the package and use:
library("rsparse")
Maintained by
Dmitriy Selivanov
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.rsparse . https://github.com/dselivanov/rsparse/issues . https://github.com/dselivanov/rsparse . rsparse results . rsparse.pdf . rsparse_0.5.3.tar.gz . rsparse_0.5.3.zip . rsparse_0.5.3.zip . rsparse_0.5.3.zip . rsparse_0.5.3.tgz . rsparse_0.5.3.tgz . rsparse_0.5.3.tgz . rsparse_0.5.3.tgz . rsparse_0.5.3.tgz . rsparse_0.5.3.tgz . rsparse archive . https://CRAN.R-project.org/package=rsparse .
First Published: 2019-04-12
Latest Update: 2022-09-11
Description:
Implements many algorithms for statistical learning on
sparse matrices - matrix factorizations, matrix completion,
elastic net regressions, factorization machines.
Also 'rsparse' enhances 'Matrix' package by providing methods for
multithreaded matrix products and native slicing of
the sparse matrices in Compressed Sparse Row (CSR) format.
List of the algorithms for regression problems:
1) Elastic Net regression via Follow The Proximally-Regularized Leader (FTRL)
Stochastic Gradient Descent (SGD), as per McMahan et al(, )
2) Factorization Machines via SGD, as per Rendle (2010, )
List of algorithms for matrix factorization and matrix completion:
1) Weighted Regularized Matrix Factorization (WRMF) via Alternating Least
Squares (ALS) - paper by Hu, Koren, Volinsky (2008, )
2) Maximum-Margin Matrix Factorization via ALS, paper by Rennie, Srebro
(2005, )
3) Fast Truncated Singular Value Decomposition (SVD), Soft-Thresholded SVD,
Soft-Impute matrix completion via ALS - paper by Hastie, Mazumder
et al. (2014, )
4) Linear-Flow matrix factorization, from 'Practical linear models for
large-scale one-class collaborative filtering' by Sedhain, Bui, Kawale et al
(2016, ISBN:978-1-57735-770-4)
5) GlobalVectors (GloVe) matrix factorization via SGD, paper by Pennington,
Socher, Manning (2014, )
Package is reasonably fast and memory efficient - it allows to work with large
datasets - millions of rows and millions of columns. This is particularly useful
for practitioners working on recommender systems.
How to cite:
Dmitriy Selivanov (2019). rsparse: Statistical Learning on Sparse Matrices. R package version 0.5.3, https://cran.r-project.org/web/packages/rsparse. Accessed 26 Mar. 2025.
Previous versions and publish date:
Other packages that cited rsparse R package
View rsparse citation profile
Other R packages that rsparse depends,
imports, suggests or enhances
Complete documentation for rsparse
Functions, R codes and Examples using
the rsparse R package
Some associated functions: FTRL . FactorizationMachine . GloVe . LinearFlow . MatrixFactorizationRecommender . PureSVD . ScaleNormalize . WRMF . detect_number_omp_threads . metrics . movielens100k . soft_impute . train_test_split .
Some associated R codes: MatrixFactorizationRecommender.R . RcppExports.R . SoftALS.R . data.R . kmeans.R . metrics.R . model_FTRL.R . model_FactorizationMachine.R . model_GloVe.R . model_LinearFlow.R . model_PureSVD.R . model_RankMF.R . model_ScaleNormalize.R . model_WRMF.R . splr.R . utils.R . utils_SoftALS.R . zzz.R . Full rsparse package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
sAIC
Computes the Akaike information criterion for the generalized linear models (logistic regression, Po ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Shuichi Kawano (view profile)
provenance
Bundles a number of established statistical methods to facilitate the visual interpretation of large ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pieter Vermeesch (view profile)
MGL
An aggressive dimensionality reduction and network estimationtechnique for a high-dimensiona ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Safiye Celik (view profile)
fPortfolio
A collection of functions to optimize portfolios and to analyze them from different points of view. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stefan Theussl (view profile)
DySS
In practice, we will encounter problems where the longitudinal performance of processes needs to be ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Lu You (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)
23,842
R Packages
207,311
Dependencies
64,420
Author Associations
23,781
Publication Badges
