Package: geeVerse 0.3.1

geeVerse: A Comprehensive Analysis of High Dimensional Longitudinal Data

To provide a comprehensive analysis of high dimensional longitudinal data,this package provides analysis for any combination of 1) simultaneous variable selection and estimation, 2) mean regression or quantile regression for heterogeneous data, 3) cross-sectional or longitudinal data, 4) balanced or imbalanced data, 5) moderate, high or even ultra-high dimensional data, via computationally efficient implementations of penalized generalized estimating equations.

Authors:Tianhai Zu [aut, cre], Brittany Green [aut, ctb], Yan Yu [aut, ctb]

geeVerse_0.3.1.tar.gz
geeVerse_0.3.1.zip(r-4.7-x86_64)geeVerse_0.3.1.zip(r-4.7-arm64)geeVerse_0.3.1.zip(r-4.6-x86_64)geeVerse_0.3.1.zip(r-4.6-arm64)geeVerse_0.3.1.zip(r-4.5-x86_64)
geeVerse_0.3.1.tgz(r-4.6-x86_64)geeVerse_0.3.1.tgz(r-4.6-arm64)geeVerse_0.3.1.tgz(r-4.5-x86_64)geeVerse_0.3.1.tgz(r-4.5-arm64)
geeVerse_0.3.1.tar.gz(r-4.7-arm64)geeVerse_0.3.1.tar.gz(r-4.7-x86_64)geeVerse_0.3.1.tar.gz(r-4.6-arm64)geeVerse_0.3.1.tar.gz(r-4.6-x86_64)
geeVerse_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
geeVerse/json (API)

# Install 'geeVerse' in R:

install.packages('geeVerse', repos = c('https://zzz1990771.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zzz1990771/geeverse/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

simuGene - A Simulated Genetic Data from HapGen2
yeastG1 - A Subset of Yeast Cell Cycle Gene Expression Data

On CRAN:

cpp

3.00 score 7 scripts 343 downloads 8 exports 14 dependencies

Last updated from:9a262a9fe2. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	110
linux-devel-x86_64	OK	114
source / vignettes	OK	190
linux-release-arm64	OK	113
linux-release-x86_64	OK	110
macos-release-arm64	OK	170
macos-release-x86_64	OK	209
macos-oldrel-arm64	OK	203
macos-oldrel-x86_64	OK	272
windows-devel-arm64	OK	331
windows-devel-x86_64	OK	151
windows-release-arm64	OK	334
windows-release-x86_64	OK	98
windows-oldrel-x86_64	OK	75
wasm-release	OK	101

Exports:compile_result CVfit geeVerse generate_data PGEE qpgee qpgeeControl Siga_cov

Dependencies:codetools doParallel foreach iterators lattice MASS Matrix MatrixModels mvtnorm quantreg Rcpp RcppEigen SparseM survival

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Compile Results from qpgee()	compile_result
Compile Results from list of qpgee()	compile_result.default
Compile Results from qpgee()	compile_result.qpgee
Cross-Validation for Generalized Estimating Equations (GEE)	CVfit
GeeVerse: Wrapper for Quantile Penalized Generalized Estimating Equations	geeVerse
Generate Data for Simulation	generate_data
PGEE accelerated with RCpp	PGEE
Print summary method for qpgee model objects	print.summary.qpgee
Quantile Penalized Generalized Estimating Equations (QPGEE)	qpgee qpgee.default qpgee.formula
Control Parameters for qpgee	qpgeeControl
Generate Covariance Matrix	Siga_cov
A Simulated Genetic Data from HapGen2	simuGene
A Subset of Yeast Cell Cycle Gene Expression Data (G1 Phase)	yeastG1