Package: mgm 1.2-16

mgm: Estimating Time-Varying k-Order Mixed Graphical Models

Estimation of k-Order time-varying Mixed Graphical Models and mixed VAR(p) models via elastic-net regularized neighborhood regression. For details see Haslbeck & Waldorp (2020) <doi:10.18637/jss.v093.i08>.

Authors:Jonas Haslbeck

mgm_1.2-16.tar.gz
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mgm_1.2-16.tgz(r-4.6-any)mgm_1.2-16.tgz(r-4.5-any)
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mgm_1.2-16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mgm/json (API)
NEWS

# Install 'mgm' in R:

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

Bug tracker:https://github.com/jmbh/mgm/issues

Datasets:

autism_data - Example Datasets in the mgm Package
autism_data_large - Example Datasets in the mgm Package
B5MS - Example Datasets in the mgm Package
dataGD - Example Datasets in the mgm Package
Fried2015 - Example Datasets in the mgm Package
fruitfly_data - Example Datasets in the mgm Package
mgm_data - Example Datasets in the mgm Package
modnw - Example Datasets in the mgm Package
msq_p3 - Example Datasets in the mgm Package
msq_p5 - Example Datasets in the mgm Package
mvar_data - Example Datasets in the mgm Package
PTSD_data - Example Datasets in the mgm Package
restingstate_data - Example Datasets in the mgm Package
symptom_data - Example Datasets in the mgm Package

On CRAN:

8.21 score 29 stars 7 packages 166 scripts 3.2k downloads 29 mentions 18 exports 87 dependencies

Last updated from:22f9110136. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	376
source / vignettes	OK	215
linux-release-x86_64	NOTE	195
macos-release-arm64	NOTE	146
macos-oldrel-arm64	NOTE	114
windows-devel	NOTE	152
windows-release	NOTE	148
windows-oldrel	NOTE	198
wasm-release	OK	127

Exports:bwSelect condition FactorGraph mgm mgmfit mgmsampler mvar mvarsampler plotRes resample showInteraction tv_var.mgm tv.mgmfit tvmgm tvmgmsampler tvmvar tvmvarsampler var.mgm

Dependencies:abind backports base64enc bslib cachem checkmate cli cluster codetools colorspace corpcor cpp11 data.table digest evaluate farver fastmap fdrtool fontawesome foreach foreign Formula fs ggplot2 glasso glmnet glue GPArotation gridExtra gtable gtools highr Hmisc htmlTable htmltools htmlwidgets igraph isoband iterators jpeg jquerylib jsonlite knitr labeling lattice lavaan lifecycle magrittr MASS Matrix memoise mime mnormt nlme nnet numDeriv pbapply pbivnorm pkgconfig plyr png psych qgraph quadprog R6 rappdirs RColorBrewer Rcpp RcppEigen reshape2 rlang rmarkdown rpart rstudioapi S7 sass scales shape stringi stringr survival tinytex vctrs viridisLite withr xfun yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Estimating Time-Varying k-order Mixed Graphical Models	mgm-package
Select optimal bandwidth for time-varying MGMs and mVAR Models	bwSelect
Computes mgm object conditional on a set of variables	condition
Example Datasets in the mgm Package	autism_data autism_data_large B5MS dataGD datasets Fried2015 fruitfly_data mgm_data modnw msq_p3 msq_p5 mvar_data PTSD_data restingstate_data symptom_data
Draws a factor graph of a (time-varying) MGM	FactorGraph
Estimating Mixed Graphical Models	mgm mgmfit
Sample from k-order Mixed Graphical Model	mgmsampler
Estimating mixed Vector Autoregressive Model (mVAR)	mvar var.mgm
Sampling from a mixed VAR model	mvarsampler
Plot summary of resampled sampling distributions	plotRes
Compute predictions from mgm model objects	predict.mgm
Print method for int objects	print.int
Print method for mgm objects	print.mgm
Resampling scheme for mgm objects	resample
Retrieving details of interactions	showInteraction
Estimating time-varying Mixed Graphical Models	tv.mgmfit tvmgm
Sample from time-varying k-order Mixed Graphical Model	tvmgmsampler
Estimating time-varying Mixed Vector Autoregressive Model (mVAR)	tvmvar tv_var.mgm
Sampling from a time-varying mixed VAR model	tvmvarsampler