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
BClustLonG
View on CRAN: Click
here
Download and install BClustLonG package within the R console
Install from CRAN:
install.packages("BClustLonG")
Install from Github:
library("remotes")
install_github("cran/BClustLonG") Install by package version:
library("remotes")
install_version("BClustLonG", "0.1.3") Attach the package and use:
library("BClustLonG")
Maintained by
Jiehuan Sun
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-15
Latest Update: 2020-05-07
Description:
Many clustering methods have been proposed, but
most of them cannot work for longitudinal gene expression data.
'BClustLonG' is a package that allows us to perform clustering analysis for
longitudinal gene expression data. It adopts a linear-mixed effects framework
to model the trajectory of genes over time, while clustering is jointly
conducted based on the regression coefficients obtained from all genes.
To account for the correlations among genes and alleviate the
high dimensionality challenges, factor analysis models are adopted
for the regression coefficients. The Dirichlet process prior distribution
is utilized for the means of the regression coefficients to induce clustering.
This package allows users to specify which variables to use for clustering
(intercepts or slopes or both) and whether a factor analysis model is desired.
More details about this method can be found in Jiehuan Sun, et al. (2017) .
How to cite:
Jiehuan Sun (2017). BClustLonG: A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data. R package version 0.1.3, https://cran.r-project.org/web/packages/BClustLonG. Accessed 13 Aug. 2026.
Previous versions and publish date:
Other packages that cited BClustLonG R package
View BClustLonG citation profile
Other R packages that BClustLonG depends,
imports, suggests or enhances
Complete documentation for BClustLonG
Functions, R codes and Examples using
the BClustLonG R package
Some associated functions: BClustLonG . calSim . data .
Some associated R codes: RcppExports.R . sparseFactor.R . Full BClustLonG package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
kangar00
Methods to extract information on pathways, genes and various single-nucleotid polymorphisms (SNPs) ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Juliane Manitz (view profile)
iAdapt
Simulate and implement early phase two-stage adaptive dose-finding design for binary and quasi-conti ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Alyssa Vanderbeek (view profile)
IATscores
Compute several variations of the Implicit Association Test (IAT) scores, including the D scores (Gr ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Giulio Costantini (view profile)
testDriveR
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Christopher Prener (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)
28,313
R Packages
239,283
Dependencies
74,752
Author Associations
28,314
Publication Badges
