This package is considered a duplicate. The official version of this package is found at:https://abdalkarima.r-universe.dev/iClusterVB

Package: iClusterVB 0.1.2

Abdalkarim Alnajjar

iClusterVB: Fast Integrative Clustering and Feature Selection for High Dimensional Data

A variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.

Authors:Abdalkarim Alnajjar [aut, cre, cph], Zihang Lu [aut]

iClusterVB_0.1.2.tar.gz
iClusterVB_0.1.2.tar.gz(r-4.5-noble)iClusterVB_0.1.2.tar.gz(r-4.4-noble)
iClusterVB_0.1.2.tgz(r-4.4-emscripten)iClusterVB_0.1.2.tgz(r-4.3-emscripten)
iClusterVB.pdf |iClusterVB.html✨
iClusterVB/json (API)

# Install 'iClusterVB' in R:

install.packages('iClusterVB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/abdalkarima/iclustervb/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

laml.cli - LAML (Acute Myeloid Leukemia) Data
laml.exp - LAML (Acute Myeloid Leukemia) Data
laml.mut - LAML (Acute Myeloid Leukemia) Data
sim_data - Simulated Dataset

3.00 score 6 scripts 124 downloads 3 exports 75 dependencies

Last updated 3 months agofrom:f8069f83c2. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 01 2024
R-4.5-linux-x86_64	OK	Nov 01 2024

Exports:chmap iClusterVB piplot

Dependencies:base64enc bslib cachem cli cluster clustMixType coda colorspace combinat commonmark cowplot crayon digest dplyr fansi farver fastmap fontawesome fs generics ggplot2 glue gtable htmltools httpuv isoband jquerylib jsonlite labeling later lattice lifecycle magrittr MASS Matrix MatrixModels mclust mcmc MCMCpack memoise mgcv mime munsell mvtnorm nlme pheatmap pillar pkgconfig poLCA promises quantreg R.methodsS3 R.oo R.utils R6 rappdirs RColorBrewer Rcpp RcppArmadillo rlang sass scales scatterplot3d shiny sourcetools SparseM survival tibble tidyselect utf8 VarSelLCM vctrs viridisLite withr xtable

Introduction to iClusterVB

Rendered fromintro_to_iClusterVB.Rmdusingknitr::rmarkdownon Nov 01 2024.

Last update: 2024-08-21
Started: 2024-07-31

Citation

Readme and manuals

Help Manual

Help page	Topics
Generates a heat map based on an iClusterVB object	chmap
Fast Integrative Clustering for High-Dimensional Multi-View Data Using Variational Bayesian Inference	iClusterVB
LAML (Acute Myeloid Leukemia) Data	laml laml.cli laml.exp laml.mut
Generates a probability inclusion plot based on an iClusterVB object	piplot
Generic plot method for `iClusterVB` objects	plot.iClusterVB
Simulated Dataset	sim_data
Generic summary method for `iClusterVB` objects	summary.iClusterVB