Package: GGMncv 2.1.1.9000

Philippe Rast

GGMncv: Gaussian Graphical Models with Nonconvex Regularization

Estimate Gaussian graphical models with nonconvex penalties <doi:10.31234/osf.io/ad57p>, including the atan Wang and Zhu (2016) <doi:10.1155/2016/6495417>, seamless L0 Dicker, Huang, and Lin (2013) <doi:10.5705/ss.2011.074>, exponential Wang, Fan, and Zhu <doi:10.1007/s10463-016-0588-3>, smooth integration of counting and absolute deviation Lv and Fan (2009) <doi:10.1214/09-AOS683>, logarithm Mazumder, Friedman, and Hastie (2011) <doi:10.1198/jasa.2011.tm09738>, Lq, smoothly clipped absolute deviation Fan and Li (2001) <doi:10.1198/016214501753382273>, and minimax concave penalty Zhang (2010) <doi:10.1214/09-AOS729>. There are also extensions for computing variable inclusion probabilities, multiple regression coefficients, and statistical inference <doi:10.1214/15-EJS1031>.

Authors:Donald Williams [aut], Philippe Rast [cre]

GGMncv_2.1.1.9000.tar.gz
GGMncv_2.1.1.9000.zip(r-4.7)GGMncv_2.1.1.9000.zip(r-4.6)GGMncv_2.1.1.9000.zip(r-4.5)
GGMncv_2.1.1.9000.tgz(r-4.6-x86_64)GGMncv_2.1.1.9000.tgz(r-4.6-arm64)GGMncv_2.1.1.9000.tgz(r-4.5-x86_64)GGMncv_2.1.1.9000.tgz(r-4.5-arm64)
GGMncv_2.1.1.9000.tar.gz(r-4.7-arm64)GGMncv_2.1.1.9000.tar.gz(r-4.7-x86_64)GGMncv_2.1.1.9000.tar.gz(r-4.6-arm64)GGMncv_2.1.1.9000.tar.gz(r-4.6-x86_64)
GGMncv_2.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GGMncv/json (API)

# Install 'GGMncv' in R:
install.packages('GGMncv', repos = c('https://rast-lab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rast-lab/ggmncv/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • bfi - Data: 25 Personality items representing 5 factors
  • ptsd - Data: Post-Traumatic Stress Disorder
  • Sachs - Data: Sachs Network

On CRAN:

Conda:

openblascpp

4.40 score 1 stars 401 downloads 17 exports 54 dependencies

Last updated from:967f7b42fd. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK210
linux-devel-x86_64OK168
source / vignettesOK271
linux-release-arm64OK179
linux-release-x86_64OK176
macos-release-arm64OK230
macos-release-x86_64OK273
macos-oldrel-arm64OK176
macos-oldrel-x86_64OK351
windows-develOK138
windows-releaseOK148
windows-oldrelOK172
wasm-releaseOK149

Exports:boot_eipcompare_edgesconfirm_edgesconstraineddesparsifygen_netget_graphggmncvinferencekl_mvnledoit_wolfmle_known_graphnctpenalty_derivativepenalty_functionscore_binarysignificance_test

Dependencies:clicodacpp11crayondplyrfarverforcatsgenericsGGallyggplot2ggstatsglassoFastgluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixnetworknumDerivpatchworkpbapplypillarpkgconfigplyrprettyunitsprogresspurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackreshaperlangS7scalessnastatnet.commonstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

High Dimensional Data: Must Read!!
Introduction | Failure Altogether | Solution | Works but Bad Performance | References
Rendered fromhigh_dim.Rmdusingknitr::rmarkdown

Last update: 2021-12-12
Started: 2021-12-01

NCT: CPU Time
Introduction | CPU Time | References
Rendered fromcpu_time.Rmdusingknitr::rmarkdown

Last update: 2021-12-02
Started: 2021-12-02

NCT: Null Distributions
Introduction | De-Sparsified Glasso | Distribution of $p$-values | QQplot | Error rate | Discussion | References
Rendered fromnull_dist.Rmdusingknitr::rmarkdown

Last update: 2021-12-01
Started: 2021-12-01

Custom Network Comparison Tests
Introdution | Correlation | Predictability | References
Rendered fromnct_custom.Rmdusingknitr::rmarkdown

Last update: 2021-12-01
Started: 2021-12-01

Positive Manifold (Sign Restriction)
Introduction | Packages | Correlations | Partial Correlations | GGM | Sign Restriction | Alternative Approach
Rendered fromsign_restrict.Rmdusingknitr::rmarkdown

Last update: 2021-11-28
Started: 2021-11-28