Package: MRFcov 1.0.39

MRFcov: Markov Random Fields with Additional Covariates

Approximate node interaction parameters of Markov Random Fields graphical networks. Models can incorporate additional covariates, allowing users to estimate how interactions between nodes in the graph are predicted to change across covariate gradients. The general methods implemented in this package are described in Clark et al. (2018) <doi:10.1002/ecy.2221>.

Authors:Nicholas J Clark [aut, cre], Konstans Wells [aut], Oscar Lindberg [aut]

MRFcov_1.0.39.tar.gz
MRFcov_1.0.39.zip(r-4.5)MRFcov_1.0.39.zip(r-4.4)MRFcov_1.0.39.zip(r-4.3)
MRFcov_1.0.39.tgz(r-4.4-any)MRFcov_1.0.39.tgz(r-4.3-any)
MRFcov_1.0.39.tar.gz(r-4.5-noble)MRFcov_1.0.39.tar.gz(r-4.4-noble)
MRFcov_1.0.39.tgz(r-4.4-emscripten)MRFcov_1.0.39.tgz(r-4.3-emscripten)
MRFcov.pdf |MRFcov.html✨
MRFcov/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/nicholasjclark/mrfcov/issues

On CRAN:

conditional-random-fieldsgraphical-modelsmachine-learningmarkov-random-fieldmultivariate-analysismultivariate-statisticsnetwork-analysisnetworks

11 exports 23 stars 2.20 score 81 dependencies 28 scripts 371 downloads

Last updated 6 months agofrom:91d77124c0. Checks:OK: 7. Indexed: yes.

Exports:bootstrap_MRFcv_MRF_diagcv_MRF_diag_repcv_MRF_diag_rep_spatialMRFcovMRFcov_spatialplotMRF_hmpredict_MRFpredict_MRFnetworksprep_MRF_covariatesprep_MRF_covariates_spatial

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2glmnetglobalsgluegowergridExtragtablehardhatigraphipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypbapplypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangrpartscalessfsmiscshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr