Other packages > Find by keyword >

lolR  

Linear Optimal Low-Rank Projection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lolR", "2.1")



Attach the package and use:
library("lolR")
Maintained by
Eric Bridgeford
[Scholar Profile | Author Map]
First Published: 2018-02-05
Latest Update: 2020-06-26
Description:
Supervised learning techniques designed for the situation when the dimensionality exceeds the sample size have a tendency to overfit as the dimensionality of the data increases. To remedy this High dimensionality; low sample size (HDLSS) situation, we attempt to learn a lower-dimensional representation of the data before learning a classifier. That is, we project the data to a situation where the dimensionality is more manageable, and then are able to better apply standard classification or clustering techniques since we will have fewer dimensions to overfit. A number of previous works have focused on how to strategically reduce dimensionality in the unsupervised case, yet in the supervised HDLSS regime, few works have attempted to devise dimensionality reduction techniques that leverage the labels associated with the data. In this package and the associated manuscript Vogelstein et al. (2017) , we provide several methods for feature extraction, some utilizing labels and some not, along with easily extensible utilities to simplify cross-validative efforts to identify the best feature extraction method. Additionally, we include a series of adaptable benchmark simulations to serve as a standard for future investigative efforts into supervised HDLSS. Finally, we produce a comprehensive comparison of the included algorithms across a range of benchmark simulations and real data applications.
How to cite:
Eric Bridgeford (2018). lolR: Linear Optimal Low-Rank Projection. R package version 2.1, https://cran.r-project.org/web/packages/lolR. Accessed 01 Apr. 2025.
Previous versions and publish date:
1.0.1 (2018-02-05 23:41), 1.0 (2018-02-05 13:46), 2.0 (2018-04-13 17:14)
Other packages that cited lolR R package
View lolR citation profile
Other R packages that lolR depends, imports, suggests or enhances
Complete documentation for lolR
Downloads during the last 30 days
03/0203/0303/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/31Downloads for lolR02468101214TrendBars

Today's Hot Picks in Authors and Packages

simplevis  
Wrappers to Simplify Beautiful "ggplot2" and "leaflet" Visualisation
Wrapper functions around the amazing 'leaflet' package that aims to simplify 'leaflet' visualisatio ...
Download / Learn more Package Citations See dependency  
shinyBS  
Twitter Bootstrap Components for Shiny
Adds additional Twitter Bootstrap components to Shiny. ...
Download / Learn more Package Citations See dependency  
eSIR  
Extended State-Space SIR Models
An implementation of extended state-space SIR models developed by Song Lab at UM school of Public H ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
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  
gasmodel  
Generalized Autoregressive Score Models
Estimation, forecasting, and simulation of generalized autoregressive score (GAS) models of Creal, ...
Download / Learn more Package Citations See dependency  
samplesize  
Sample Size Calculation for Various t-Tests and Wilcoxon-Test
Computes sample size for Student's t-test and for the Wilcoxon-Mann-Whitney test for categorical dat ...
Download / Learn more Package Citations See dependency  

23,842

R Packages

207,311

Dependencies

64,420

Author Associations

23,781

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA