Other packages > Find by keyword >

xLLiM  

High Dimensional Locally-Linear Mapping
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("xLLiM", "2.3")



Attach the package and use:
library("xLLiM")
Maintained by
Emeline Perthame
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-05
Latest Update: 2021-01-04
Description:
Provides a tool for non linear mapping (non linear regression) using a mixture of regression model and an inverse regression strategy. The methods include the GLLiM model (see Deleforge et al (2015) <doi:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) <doi:10.1016/j.jmva.2017.09.009>) based on a mixture of Generalized Student distributions. The methods also include BLLiM (see Devijver et al (2017) <doi:10.48550/arXiv.1701.07899>) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).
How to cite:
Emeline Perthame (2016). xLLiM: High Dimensional Locally-Linear Mapping. R package version 2.3, https://cran.r-project.org/web/packages/xLLiM. Accessed 03 Feb. 2025.
Previous versions and publish date:
1.0 (2016-12-05 22:56), 2.0 (2017-05-16 16:46), 2.1 (2017-05-23 12:43), 2.2.1 (2023-09-11 17:50), 2.2 (2021-01-04 20:30)
Other packages that cited xLLiM R package
View xLLiM citation profile
Other R packages that xLLiM depends, imports, suggests or enhances
Complete documentation for xLLiM
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

SMR  
Externally Studentized Midrange Distribution
Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers. ...
Download / Learn more Package Citations See dependency  
metaboData  
Example Metabolomics Data Sets
Data sets from a variety of biological sample matrices, analysed using a number of mass spectrometr ...
Download / Learn more Package Citations See dependency  
HGMND  
Heterogeneous Graphical Model for Non-Negative Data
Graphical model is an informative and powerful tool to explore the conditional dependence relationsh ...
Download / Learn more Package Citations See dependency  
cmce  
Computer Model Calibration for Deterministic and Stochastic Simulators
Implements the Bayesian calibration model described in Pratola and Chkrebtii (2018) ...
Download / Learn more Package Citations See dependency  
Bolstad2  
Bolstad Functions
A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." T ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

23,630

R Packages

204,513

Dependencies

64,101

Author Associations

23,581

Publication Badges

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