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LPS  

Linear Predictor Score, for Binary Inference from Multiple Continuous Variables
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LPS", "1.0.16")



Attach the package and use:
library("LPS")
Maintained by
Sylvain Mareschal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-12-20
Latest Update: 2021-05-29
Description:
An implementation of the Linear Predictor Score approach, as initiated by Radmacher et al. (J Comput Biol 2001) and enhanced by Wright et al. (PNAS 2003) for gene expression signatures. Several tools for unsupervised clustering of gene expression data are also provided.
How to cite:
Sylvain Mareschal (2013). LPS: Linear Predictor Score, for Binary Inference from Multiple Continuous Variables. R package version 1.0.16, https://cran.r-project.org/web/packages/LPS. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.4 (2013-12-20 13:35), 1.0.10 (2015-02-16 06:49)
Other packages that cited LPS R package
View LPS citation profile
Other R packages that LPS depends, imports, suggests or enhances
Complete documentation for LPS
Functions, R codes and Examples using the LPS R package
Some associated functions: LPS.coeff . LPS . OVL . clusterize . heat.map . heat . heat.scale . plot.LPS . predict.LPS . rosenwald . surv.colors . surv.scale . 
Some associated R codes: Full LPS package functions and examples
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