{ "_id": "6a27a9e224555f66ed533e68", "Type": "Package", "Package": "ERPM", "Title": "Exponential Random Partition Models", "Version": "0.2.0.9000", "Date": "2024-05-03", "Authors@R": "c(\nperson(\"Marion\", \"Hoffman\", , \"marion.hoffman.31@gmail.com\", role = c(\"cre\", \"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-0741-7760\")),\nperson(\"Alexandra\", \"Amani\", role = \"aut\"),\nperson(\"Nico\", \"Keiser\", role = \"aut\")\n)", "Description": "Simulates and estimates the Exponential Random Partition\nModel presented in the paper Hoffman, Block, and Snijders\n(2023) . It can also be used to\nestimate longitudinal partitions, following the model proposed\nin Hoffman and Chabot (2023)\n. The model is an exponential\nfamily distribution on the space of partitions (sets of\nnon-overlapping groups) and is called in reference to the\nExponential Random Graph Models (ERGM) for networks.", "License": "GPL (>= 3)", "Config/testthat/edition": "3", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.1", "Collate": "'erpm-package.R' 'functions_utility.R'\n'functions_Metropolis.R' 'functions_burninthining.R'\n'functions_change_statistics.R' 'functions_estimate.R'\n'functions_exactcalculations.R'\n'functions_exchange_algorithm.R' 'functions_loglikelihood.R'\n'functions_output.R' 'functions_phase1.R' 'functions_phase2.R'\n'functions_phase3.R' 'functions_statistics.R'\n'functions_visualisation.R' 'outcomeObjects.R'", "URL": "https://github.com/stocnet/ERPM", "BugReports": "https://github.com/stocnet/ERPM/issues", "Config/pak/sysreqs": "libglpk-dev libxml2-dev", "Repository": "https://stocnet.r-universe.dev", "Date/Publication": "2024-05-22 06:35:35 UTC", "RemoteUrl": "https://github.com/stocnet/erpm", "RemoteRef": "HEAD", "RemoteSha": "d3bcc4706f4095cdabdf38d4c1a21f31400d4efc", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-08 08:23:49 UTC", "User": "root" }, "Author": "Marion Hoffman [cre, aut, cph] (ORCID:\n),\nAlexandra Amani [aut],\nNico Keiser [aut]", "Maintainer": "Marion Hoffman ", "MD5sum": "5fe2039809208f20ed7af2a2b3bb1942", "_user": "stocnet", "_type": "src", "_file": "ERPM_0.2.0.9000.tar.gz", "_fileid": "805d216418b6773c3234f6284b1e292ad5ced2e93772d2d64a38ff035c8f73cc", "_filesize": 277471, "_sha256": "805d216418b6773c3234f6284b1e292ad5ced2e93772d2d64a38ff035c8f73cc", "_created": "2026-06-08T08:23:49.000Z", "_published": "2026-06-09T05:51:30.870Z", "_distro": "noble", "_jobs": [ { "job": 80256887899, "time": 145, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7474988117" }, { "job": 80256887840, "time": 105, "config": "linux-release-x86_64", "r": "4.6.0", 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"GitHub-Actions", "_upstream": "https://github.com/stocnet/erpm", "_commit": { "id": "d3bcc4706f4095cdabdf38d4c1a21f31400d4efc", "author": "Marion Hoffman ", "committer": "Marion Hoffman ", "message": "git release\n", "time": 1716359735 }, "_maintainer": { "name": "Marion Hoffman", "email": "marion.hoffman.31@gmail.com", "login": "marion-hoffman", "twitter": "@marion_hof", "description": "PhD from the Social Networks Lab at ETH Zürich, currently Assistant Professor in Sociology at the Toulouse School of Economics", "uuid": 15651627, "orcid": "0000-0002-0741-7760" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.2", "role": "Depends" }, { "package": "numbers", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "igraph", "role": "Imports" }, { "package": "RColorBrewer", "role": "Imports" }, { "package": "snowfall", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "stocnet", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 11, "_contributors": [ { "user": "marion-hoffman", "count": 134, "uuid": 15651627 }, { "user": "nikeis", "count": 66, "uuid": 128040749 }, { "user": "isci1102", "count": 18, "uuid": 84293066 } ], "_userbio": { "uuid": 154531996, "type": "organization", "name": "stocnet", "description": "Stochastic network software" }, "_downloads": { "count": 138, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ERPM" }, "_devurl": "https://github.com/stocnet/erpm", "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/ERPM.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/stocnet/erpm", "_realowner": "stocnet", "_cranurl": true, "_releases": [ { "version": "0.2.0", "date": "2024-05-10" } ], "_exports": [ "Bell_constraints", "calculate_denominator_Dirichlet_restricted", "calculate_proba_Dirichlet_restricted", "check_sizes", "compute_averagesize", "compute_numgroups_denominator", "computeStatistics", "computeStatistics_multiple", "correlation_between", "correlation_with_size", "correlation_within", "count_classes", "CUP", "draw_Metropolis_multiple", "draw_Metropolis_single", "estimate_ERPM", "estimate_logL", "estimate_multipleERPM", "exactestimates_numgroups", "find_all_partitions", "gridsearch_burnin_single", "gridsearch_burninthining_multiple", "gridsearch_burninthining_single", "gridsearch_thining_single", "group_size", "icc", "number_categories", "number_ties", "order_groupids", "phase1", "plot_averagesizes", "plot_numgroups_likelihood", "plot_partition", "proportion_isolate", "range_attribute", "run_phase1_multiple", "run_phase1_single", "run_phase2_multiple", "run_phase2_single", "run_phase3_multiple", "run_phase3_single", "same_pairs", "similar_pairs", "simulate_burnin_single", "simulate_burninthining_multiple", "simulate_burninthining_single", "simulate_thining_single", "Stirling2_constraints" ], "_datasets": [ { "name": "estimation", "title": "Exemplary outcome objects for the ERPM Package", "object": "estimation", "class": [ "results.list.erpm" ], "fields": [], "table": false, "tojson": false } ], "_help": [ { "page": "Bell_constraints", "title": "Function to calculate the number of partitions with groups of sizes between smin and smax", "topics": [ "Bell_constraints" ] }, { "page": "calculate_denominator_Dirichlet_restricted", "title": "Calculate Dirichlet denominator", "topics": [ "calculate_denominator_Dirichlet_restricted" ] }, { "page": "calculate_proba_Dirichlet_restricted", "title": "Calculate Dirichlet probability", "topics": [ "calculate_proba_Dirichlet_restricted" ] }, { "page": "check_sizes", "title": "Function to determine whether a partition contains the allowed group sizes", "topics": [ "check_sizes" ] }, { "page": "compute_averagesize", "title": "Compute the average size of a random partition", "topics": [ "compute_averagesize" ] }, { "page": "compute_numgroups_denominator", "title": "Compute denominator for model with number of groups", "topics": [ "compute_numgroups_denominator" ] }, { "page": "computeStatistics", "title": "Compute Statistics", "topics": [ "computeStatistics" ] }, { "page": "computeStatistics_multiple", "title": "Compute Statistics multiple", "topics": [ "computeStatistics_multiple" ] }, { "page": "correlation_between", "title": "Between groups correlation", "topics": [ "correlation_between" ] }, { "page": "correlation_with_size", "title": "Correlation with size", "topics": [ "correlation_with_size" ] }, { "page": "correlation_within", "title": "Within groups correlation", "topics": [ "correlation_within" ] }, { "page": "count_classes", "title": "Function to count the number of partitions with a certain group size structure, for all possible group size structure. Function to use after calling the \"find_all_partitions\" function.", "topics": [ "count_classes" ] }, { "page": "CUP", "title": "CUP", "topics": [ "CUP" ] }, { "page": "draw_Metropolis_multiple", "title": "Draw Metropolis multiple", "topics": [ "draw_Metropolis_multiple" ] }, { "page": "draw_Metropolis_single", "title": "Draw Metropolis single", "topics": [ "draw_Metropolis_single" ] }, { "page": "estimate_ERPM", "title": "Estimate ERPM", "topics": [ "estimate_ERPM" ] }, { "page": "estimate_logL", "title": "Estimate log likelihood", "topics": [ "estimate_logL" ] }, { "page": "estimate_multipleERPM", "title": "Estimate ERPM for multiple observations", "topics": [ "estimate_multipleERPM" ] }, { "page": "exactestimates_numgroups", "title": "Exact estimates number of groups", "topics": [ "exactestimates_numgroups" ] }, { "page": "find_all_partitions", "title": "Function to enumerate all possible partitions for a given n", "topics": [ "find_all_partitions" ] }, { "page": "gridsearch_burnin_single", "title": "Grid - search burnin single", "topics": [ "gridsearch_burnin_single" ] }, { "page": "gridsearch_burninthining_multiple", "title": "Grid - search burnin thining multiple", "topics": [ "gridsearch_burninthining_multiple" ] }, { "page": "gridsearch_burninthining_single", "title": "Grid - search burnin thining single", "topics": [ "gridsearch_burninthining_single" ] }, { "page": "gridsearch_thining_single", "title": "Grid - search thining single", "topics": [ "gridsearch_thining_single" ] }, { "page": "group_size", "title": "Statistics on the size of groups in a partition", "topics": [ "group_size" ] }, { "page": "icc", "title": "Intra class correlation", "topics": [ "icc" ] }, { "page": "number_categories", "title": "Number of individuals having an attribute", "topics": [ "number_categories" ] }, { "page": "number_ties", "title": "Same pairs of individuals in a partition", "topics": [ "number_ties" ] }, { "page": "order_groupids", "title": "Function to replace the ids of the group without forgetting an id and put in the first appearance order for example: [2 1 1 4 2] becomes [1 2 2 3 1]", "topics": [ "order_groupids" ] }, { "page": "outcomeObjects", "title": "Exemplary outcome objects for the ERPM Package", "topics": [ "estimation", "outcomeObjects" ] }, { "page": "phase1", "title": "Core function for Phase 1", "topics": [ "phase1" ] }, { "page": "plot_averagesizes", "title": "Plot average sizes", "topics": [ "plot_averagesizes" ] }, { "page": "plot_numgroups_likelihood", "title": "Plot likelihood of number groups", "topics": [ "plot_numgroups_likelihood" ] }, { "page": "plot_partition", "title": "Visualization of partition", "topics": [ "plot_partition" ] }, { "page": "print.results.bayesian.erpm", "title": "Print results of bayesian estimation (beta version)", "topics": [ "print.results.bayesian.erpm" ] }, { "page": "print.results.list.erpm", "title": "Print estimation results", "topics": [ "print.results.list.erpm" ] }, { "page": "print.results.p3.erpm", "title": "Print results of estimation of phase 3", "topics": [ "print.results.p3.erpm" ] }, { "page": "proportion_isolate", "title": "Proportion of isolates", "topics": [ "proportion_isolate" ] }, { "page": "range_attribute", "title": "Range of attribute in groups", "topics": [ "range_attribute" ] }, { "page": "run_phase1_multiple", "title": "Phase 1 wrapper for multiple observations", "topics": [ "run_phase1_multiple" ] }, { "page": "run_phase1_single", "title": "Phase 1 wrapper for single observation", "topics": [ "run_phase1_single" ] }, { "page": "run_phase2_multiple", "title": "Phase 2 wrapper for multiple observation", "topics": [ "run_phase2_multiple" ] }, { "page": "run_phase2_single", "title": "Phase 2 wrapper for single observation", "topics": [ "run_phase2_single" ] }, { "page": "run_phase3_multiple", "title": "Phase 3 wrapper for multiple observation", "topics": [ "run_phase3_multiple" ] }, { "page": "run_phase3_single", "title": "Phase 3 wrapper for single observation", "topics": [ "run_phase3_single" ] }, { "page": "same_pairs", "title": "Same pairs of individuals in a partition", "topics": [ "same_pairs" ] }, { "page": "similar_pairs", "title": "Similar pairs of individuals in a partition", "topics": [ "similar_pairs" ] }, { "page": "simulate_burnin_single", "title": "Simulate burn in single", "topics": [ "simulate_burnin_single" ] }, { "page": "simulate_burninthining_multiple", "title": "Simulate burnin thining multiple", "topics": [ "simulate_burninthining_multiple" ] }, { "page": "simulate_burninthining_single", "title": "Simulate burnin thining single", "topics": [ "simulate_burninthining_single" ] }, { "page": "simulate_thining_single", "title": "Simulate thining single", "topics": [ "simulate_thining_single" ] }, { "page": "Stirling2_constraints", "title": "Function to calculate the number of partitions with k groups of sizes between smin and smax", "topics": [ "Stirling2_constraints" ] } ], "_readme": 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