Package: gRain 1.4.5

gRain: Bayesian Networks

Probability propagation in Bayesian networks, also known as graphical independence networks. Documentation of the package is provided in vignettes included in the package and in the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>). See 'citation("gRain")' for details.

Authors:Søren Højsgaard [aut, cre]

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gRain.pdf |gRain.html✨
gRain/json (API)
NEWS

# Install 'gRain' in R:

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

Bug tracker:https://github.com/hojsgaard/grain/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

9.35 score 2 stars 8 packages 388 scripts 2.7k downloads 9 mentions 56 exports 30 dependencies

Last updated 1 months agofrom:65f181eaa7. Checks:OK: 6 NOTE: 3. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 16 2024
R-4.5-win-x86_64	OK	Nov 16 2024
R-4.5-linux-x86_64	OK	Nov 16 2024
R-4.4-win-x86_64	OK	Nov 16 2024
R-4.4-mac-x86_64	OK	Nov 16 2024
R-4.4-mac-aarch64	OK	Nov 16 2024
R-4.3-win-x86_64	NOTE	Nov 16 2024
R-4.3-mac-x86_64	NOTE	Nov 16 2024
R-4.3-mac-aarch64	NOTE	Nov 16 2024

Exports:absorbEvidence andtab andtable booltab compile_cpt compile_pot compileCPT compilePOT cpt cptable evidence_add evidence_drop evidence_get evidence_prob extract_cpt extract_marg extract_pot extractCPT extractMARG extractPOT getEvidence getFinding getgin getgrain grain grain.CPTspec isCompiled isPropagated loadHuginNet marg2pot mendel nodeNames nodeStates ortab ortable parse_cpt pEvidence pFinding pot2marg printlist propagateLS qgrain querygrain repeat_pattern repeatPattern replace_cpt replaceCPT retractEvidence retractFinding saveHuginNet setEvidence setFinding simplify_query simulate.grain splitVec universe

Dependencies:backports broom cli cpp11 dplyr fansi generics glue gRbase igraph lattice lifecycle magrittr Matrix pillar pkgconfig purrr R6 Rcpp RcppArmadillo RcppEigen rlang stringi stringr tibble tidyr tidyselect utf8 vctrs withr

Graphical Independence Networks

Søren Højsgaard

Rendered fromgrain.rmdusingknitr::knitron Nov 16 2024.

Last update: 2024-09-20
Started: 2024-07-06

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Compile conditional probability tables / cliques potentials.	compileCPT compilePOT
Extract conditional probabilities and clique potentials from data.	components_extract extract_cpt extract_marg extract_pot marg2pot pot2marg
Compile conditional probability tables / cliques potentials.	compile_cpt compile_pot components_gather parse_cpt parse_cpt, parse_cpt.default parse_cpt.xtabs,
Create conditional probability tables (CPTs)	cpt cptable
Chest clinic example	example_chest example_chest_cpt
Wet grass example	example_grass example_grass_cpt
Set, retrieve, and retract finding in Bayesian network.	finding getFinding pFinding retractFinding setFinding
gRain generics	generics isCompiled isPropagated nodeNames nodeNames.grain nodeStates nodeStates.grain rip.grain universe universe.grain vpar.cpt_grain vpar.cpt_spec
Compile Bayesian network.	compile.cpt_grain compile.grain compile.pot_grain grain_compile
Set, update and remove evidence.	evidence_add evidence_drop evidence_get evidence_prob grain_evidence
Make predictions from Bayesian network	grain_predict predict.grain
Propagate in a Bayesian network	grain_propagate propagate.grain propagateLS propagateLS__
Create Bayesian network	grain grain-main grain.CPTspec grain.cpt_spec grain.dModel grain.igraph grain.pot_spec
Simulate from Bayesian network	grain-simulate simulate.grain
Load and save Hugin net files	load-save-hugin loadHuginNet saveHuginNet
Conditional probability tables based on logical dependencies	andtab andtable booltab logical ortab ortable
Mendelian segregation	mendel
Extract conditional probabilities and clique potentials from data.	extractCPT extractMARG extractPOT old_components_extract
Set, update and remove evidence.	absorbEvidence getEvidence old_grain_evidence pEvidence retractEvidence setEvidence
Replace CPTs in Bayesian network	old_replace_cpt replaceCPT
Query a Bayesian network	ask ask.grain qgrain querygrain querygrain.grain
Create repeated patterns in Bayesian networks	repeat_pattern
Create repeated patterns in Bayesian networks	repeatPattern
Replace CPTs in Bayesian network	replace_cpt replace_cpt.cpt_grain
Simplify output query to a Bayesian network	simplify_query