Package: GGMncv 2.1.1

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, cre]

GGMncv_2.1.1.tar.gz
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GGMncv_2.1.1.tgz(r-4.4-x86_64)GGMncv_2.1.1.tgz(r-4.4-arm64)GGMncv_2.1.1.tgz(r-4.3-x86_64)GGMncv_2.1.1.tgz(r-4.3-arm64)
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GGMncv.pdf |GGMncv.html✨
GGMncv/json (API)

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

Peer review:

Bug tracker:https://github.com/donaldrwilliams/ggmncv/issues

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

On CRAN:

6.10 score 4 stars 2 packages 21 scripts 343 downloads 17 exports 58 dependencies

Last updated 3 years agofrom:5be489dc3b. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 11 2024
R-4.5-win-x86_64NOTEOct 11 2024
R-4.5-linux-x86_64NOTEOct 11 2024
R-4.4-win-x86_64NOTEOct 11 2024
R-4.4-mac-x86_64NOTEOct 11 2024
R-4.4-mac-aarch64NOTEOct 11 2024
R-4.3-win-x86_64NOTEOct 11 2024
R-4.3-mac-x86_64NOTEOct 11 2024
R-4.3-mac-aarch64NOTEOct 11 2024

Exports:boot_eipcompare_edgesconfirm_edgesconstraineddesparsifygen_netget_graphggmncvinferencekl_mvnledoit_wolfmle_known_graphnctpenalty_derivativepenalty_functionscore_binarysignificance_test

Dependencies:clicodacolorspacecpp11crayondplyrfansifarverforcatsgenericsGGallyggplot2ggstatsglassoFastgluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmgcvmunsellnetworknlmenumDerivpatchworkpbapplypillarpkgconfigplyrprettyunitsprogresspurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackreshaperlangscalessnastatnet.commonstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Custom Network Comparison Tests

Rendered fromnct_custom.Rmdusingknitr::rmarkdownon Oct 11 2024.

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

High Dimensional Data: Must Read!!

Rendered fromhigh_dim.Rmdusingknitr::rmarkdownon Oct 11 2024.

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

NCT: CPU Time

Rendered fromcpu_time.Rmdusingknitr::rmarkdownon Oct 11 2024.

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

NCT: Null Distributions

Rendered fromnull_dist.Rmdusingknitr::rmarkdownon Oct 11 2024.

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

Positive Manifold (Sign Restriction)

Rendered fromsign_restrict.Rmdusingknitr::rmarkdownon Oct 11 2024.

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