{ "_id": "6a2124c8cd65a98ecbd2085f", "Package": "CIMTx", "Type": "Package", "Title": "Causal Inference for Multiple Treatments with a Binary Outcome", "Version": "1.2.0", "Authors@R": "c(\nperson(\"Liangyuan\", \"Hu\", role = \"aut\", email = \"lh707@sph.rutgers.edu\"),\nperson(\"Chenyang\", \"Gu\", role = \"aut\",\nemail = \"chenyang_gu@alumni.brown.edu\"),\nperson(\"Michael\", \"Lopez\", role = \"aut\", email = \"Michael.Lopez@nfl.com\"),\nperson(\"Jiayi\", \"Ji\", role = c(\"aut\", \"cre\"), email = \"jjy2876@gmail.com\"))", "Description": "Different methods to conduct causal inference for multiple\ntreatments with a binary outcome, including regression\nadjustment, vector matching, Bayesian additive regression\ntrees, targeted maximum likelihood and inverse probability of\ntreatment weighting using different generalized propensity\nscore models such as multinomial logistic regression,\ngeneralized boosted models and super learner. For more details,\nsee the paper by Hu et al. .", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.1.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 07:04:11 UTC", "User": "root" }, "Author": "Liangyuan Hu [aut], Chenyang Gu [aut], Michael Lopez [aut],\nJiayi Ji [aut, cre]", "Maintainer": "Jiayi Ji ", "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nmake libicu-dev libjpeg-dev libpng-dev libssl-dev libproj-dev\nlibsqlite3-dev libudunits2-dev", "Repository": "https://jiayiji.r-universe.dev", "Date/Publication": "2022-06-24 06:40:02 UTC", "RemoteUrl": "https://github.com/cran/CIMTx", "RemoteRef": "HEAD", "RemoteSha": "2bb67b80b853b17533139faac3450f799d45a844", "MD5sum": "76f60541b937b72053e18724e8eaa9e3", "_user": "jiayiji", "_type": "src", "_file": "CIMTx_1.2.0.tar.gz", "_fileid": "cab432e2b3cb0bdbad59843844f7500c08740ca3a6876c4d8eaa790607d8610f", "_filesize": 223993, "_sha256": "cab432e2b3cb0bdbad59843844f7500c08740ca3a6876c4d8eaa790607d8610f", "_created": "2026-06-04T07:04:11.000Z", "_published": "2026-06-04T07:10:00.943Z", "_distro": "noble", "_jobs": [ { "job": 79467203075, "time": 184, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7405147046" }, { "job": 79467203067, "time": 194, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7405149805" }, { "job": 79467203113, "time": 263, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7405170567" }, { "job": 79467203077, "time": 297, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7405167788" }, { "job": 79466654975, "time": 235, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7405094851" }, { "job": 79467203237, "time": 123, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7405129431" }, { "job": 79467203264, "time": 161, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7405140578" }, { "job": 79467203089, "time": 151, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7405137576" }, { "job": 79467203098, "time": 143, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7405135843" } ], "_buildurl": "https://github.com/r-universe/jiayiji/actions/runs/26936236257", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/CIMTx", "_commit": { "id": "2bb67b80b853b17533139faac3450f799d45a844", "author": "Jiayi Ji ", "committer": "cran-robot ", "message": "version 1.2.0\n", "time": 1656052802 }, "_maintainer": { "name": "Jiayi Ji", "email": "jjy2876@gmail.com", "login": "jiayiji", "description": "", "uuid": 26682045 }, "_registered": true, "_dependencies": [ { "package": "nnet", "version": ">= 7.3-16", "role": "Imports" }, { "package": "BART", "version": ">= 2.9", "role": "Imports" }, { "package": "twang", "version": ">= 2.5", "role": "Imports" }, { "package": "arm", "version": ">= 1.2-12", "role": "Imports" }, { "package": "dplyr", "version": ">= 1.0.7", "role": "Imports" }, { "package": "Matching", "version": ">= 4.9-11", "role": "Imports" }, { "package": "magrittr", "version": ">= 2.0.1", "role": "Imports" }, { "package": "WeightIt", "version": ">= 0.12.0", "role": "Imports" }, { "package": "tmle", "version": ">= 1.5.0.2", "role": "Imports" }, { "package": "tidyr", "version": ">= 1.1.4", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "ggplot2", "version": ">= 3.3.5", "role": "Imports" }, { "package": "cowplot", "version": ">= 1.1.1", "role": "Imports" }, { "package": "mgcv", "version": ">= 1.8-38", "role": "Imports" }, { "package": "metR", "version": ">= 0.11.0", "role": "Imports" }, { "package": "stringr", "version": ">= 1.4.0", "role": "Imports" }, { "package": "SuperLearner", "version": ">= 2.0-28", "role": "Imports" }, { "package": "foreach", "version": ">= 1.5.1", "role": "Imports" }, { "package": "doParallel", "version": ">= 1.0.16", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "jiayiji", "count": 1, "uuid": 26682045 } ], "_userbio": { "uuid": 26682045, "type": "user", "name": "Jiayi Ji" }, "_downloads": { "count": 229, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/CIMTx" }, "_searchresults": 28, "_rbuild": "4.6.0", "_assets": [ "extra/CIMTx.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "manual.pdf" ], "_realowner": "jiayiji", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2020-04-15" }, { "version": "0.2.0", "date": "2020-06-02" }, { "version": "0.3.0", "date": "2021-07-16" }, { "version": "1.0.0", "date": "2021-10-20" }, { "version": "1.1.0", "date": "2021-11-30" }, { "version": "1.2.0", "date": "2022-06-24" } ], "_exports": [ "ce_estimate", "data_sim", "sa", "true_c_fun_cal" ], "_help": [ { "page": "ce_estimate", "title": "Causal inference with multiple treatments using observational data", "topics": [ "ce_estimate" ] }, { "page": "ce_estimate_bart_ate", "title": "Causal inference with multiple treatments using BART for ATE effects", "topics": [ "ce_estimate_bart_ate" ] }, { "page": "ce_estimate_bart_att", "title": "Causal inference with multiple treatments using BART for ATT effects", "topics": [ "ce_estimate_bart_att" ] }, { "page": "ce_estimate_iptw_ate", "title": "Causal inference with multiple treatments using IPTW for ATE effects", "topics": [ "ce_estimate_iptw_ate" ] }, { "page": "ce_estimate_iptw_ate_boot", "title": "Causal inference with multiple treatments using IPTW for ATE effects (bootstrapping for CI)", "topics": [ "ce_estimate_iptw_ate_boot" ] }, { "page": "ce_estimate_iptw_att", "title": "Causal inference with multiple treatments using IPTW for ATT effects", "topics": [ "ce_estimate_iptw_att" ] }, { "page": "ce_estimate_iptw_att_boot", "title": "Causal inference with multiple treatments using IPTW for ATT effects (bootstrapping for CI)", "topics": [ "ce_estimate_iptw_att_boot" ] }, { "page": "ce_estimate_ra_ate", "title": "Causal inference with multiple treatments using RA for ATE effects", "topics": [ "ce_estimate_ra_ate" ] }, { "page": "ce_estimate_ra_att", "title": "Causal inference with multiple treatments using RA for ATT effects", "topics": [ "ce_estimate_ra_att" ] }, { "page": "ce_estimate_rams_ate", "title": "Causal inference with multiple treatments using RAMS for ATE effects", "topics": [ "ce_estimate_rams_ate" ] }, { "page": "ce_estimate_rams_ate_boot", "title": "Causal inference with multiple treatments using RAMS for ATE effects (bootstrapping for CI)", "topics": [ "ce_estimate_rams_ate_boot" ] }, { "page": "ce_estimate_rams_att", "title": "Causal inference with multiple treatments using RAMS for ATT effects", "topics": [ "ce_estimate_rams_att" ] }, { "page": "ce_estimate_rams_att_boot", "title": "Causal inference with multiple treatments using RAMS for ATT effects (bootstrapping for CI)", "topics": [ "ce_estimate_rams_att_boot" ] }, { "page": "ce_estimate_tmle_ate", "title": "Causal inference with multiple treatments using TMLE for ATE effects", "topics": [ "ce_estimate_tmle_ate" ] }, { "page": "ce_estimate_tmle_ate_boot", "title": "Causal inference with multiple treatments using TMLE for ATE effects (bootstrapping for CI)", "topics": [ "ce_estimate_tmle_ate_boot" ] }, { "page": "ce_estimate_vm_att", "title": "Causal inference with multiple treatments using VM for ATT effects", "topics": [ "ce_estimate_vm_att" ] }, { "page": "covariate_overlap", "title": "Covariate overlap figure", "topics": [ "covariate_overlap" ] }, { "page": "data_sim", "title": "Simulate data for binary outcome with multiple treatments", "topics": [ "data_sim" ] }, { "page": "plot.CIMTx_ATE_posterior", "title": "Plot for non-IPTW estimation methods with bootstrapping for ATE effect", "topics": [ "plot.CIMTx_ATE_posterior" ] }, { "page": "plot.CIMTx_ATT_posterior", "title": "Plot for non-IPTW estimation methods for ATT effect", "topics": [ "plot.CIMTx_ATT_posterior" ] }, { "page": "plot.CIMTx_IPTW", "title": "Boxplot for weight distribution", "topics": [ "plot.CIMTx_IPTW" ] }, { "page": "plot.CIMTx_nonIPTW_once", "title": "Plot for non-IPTW estimation methods for ATE effect", "topics": [ "plot.CIMTx_nonIPTW_once" ] }, { "page": "plot.CIMTx_sa_grid", "title": "Contour plot for the grid specification of sensitivity analysis", "topics": [ "plot.CIMTx_sa_grid" ] }, { "page": "posterior_summary", "title": "Posterior distribution summary", "topics": [ "posterior_summary" ] }, { "page": "print.CIMTx_ATE_posterior", "title": "Print the ATE results for non-IPTW results", "topics": [ "print.CIMTx_ATE_posterior" ] }, { "page": "print.CIMTx_ATE_sa", "title": "Print the ATE results for from sensitivity analysis", "topics": [ "print.CIMTx_ATE_sa" ] }, { "page": "print.CIMTx_ATT_posterior", "title": "Print the ATT results", "topics": [ "print.CIMTx_ATT_posterior" ] }, { "page": "print.CIMTx_ATT_sa", "title": "Print the ATT results for from sensitivity analysis", "topics": [ "print.CIMTx_ATT_sa" ] }, { "page": "print.CIMTx_IPTW", "title": "Print the ATE/ATT results for IPTW results", "topics": [ "print.CIMTx_IPTW" ] }, { "page": "print.CIMTx_nonIPTW_once", "title": "Print the ATE/ATT results for non-IPTW results", "topics": [ "print.CIMTx_nonIPTW_once" ] }, { "page": "print.CIMTx_sa_grid", "title": "Print the ATT results for from sensitivity analysis", "topics": [ "print.CIMTx_sa_grid" ] }, { "page": "sa", "title": "Flexible Monte Carlo sensitivity analysis for unmeasured confounding", "topics": [ "sa" ] }, { "page": "summary.CIMTx_ATE_posterior", "title": "Summarize a CIMTx_ATE_posterior object", "topics": [ "summary.CIMTx_ATE_posterior" ] }, { "page": "summary.CIMTx_ATE_sa", "title": "Summarize a CIMTx_ATE_sa object", "topics": [ "summary.CIMTx_ATE_sa" ] }, { "page": "summary.CIMTx_ATT_posterior", "title": "Summarize a CIMTx_ATT_posterior object", "topics": [ "summary.CIMTx_ATT_posterior" ] }, { "page": "summary.CIMTx_ATT_sa", "title": "Summarize a CIMTx_ATT_sa object", "topics": [ "summary.CIMTx_ATT_sa" ] }, { "page": "summary.CIMTx_IPTW", "title": "Summarize a CIMTx_IPTW object", "topics": [ "summary.CIMTx_IPTW" ] }, { "page": "summary.CIMTx_nonIPTW_once", "title": "Summarize a CIMTx_nonIPTW_once object", "topics": [ "summary.CIMTx_nonIPTW_once" ] }, { "page": "true_c_fun_cal", "title": "Calculate the true c functions with 3 treatments and a binary predictor", "topics": [ "true_c_fun_cal" ] }, { "page": "trunc_fun", "title": "Trimming", "topics": [ "trunc_fun" ] } ], "_rundeps": [ "abind", "arg", "arm", "backports", "BART", "bitops", "boot", "cachem", "caTools", "checkmate", "class", "classInt", "cli", "cobalt", "coda", "codetools", "cowplot", "cpp11", "cvAUC", "data.table", "DBI", "deldir", "digest", "doParallel", "dplyr", "e1071", "farver", "fastmap", "foreach", "Formula", "formula.tools", "gam", "gbm", "generics", "ggplot2", "glmnet", "glue", "gplots", "gridExtra", "gtable", "gtools", "interp", "isoband", "iterators", "jpeg", "jsonlite", "KernSmooth", "labeling", "lattice", "latticeExtra", "lifecycle", "lme4", "lubridate", "magrittr", "MASS", "Matching", "Matrix", "MatrixModels", "memoise", "metR", "mgcv", "minqa", "mitools", "nlme", "nloptr", "nnet", "nnls", "numDeriv", "operator.tools", "pillar", "pkgconfig", "plyr", "png", "proxy", "purrr", "R6", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "Rdpack", "reformulas", "rlang", "ROCR", "s2", "S7", "sandwich", "scales", "sf", "shape", "stringi", "stringr", "SuperLearner", "survey", "survival", "tibble", "tidyr", "tidyselect", "timechange", "tmle", "twang", "units", "utf8", "vctrs", "viridisLite", "WeightIt", "withr", "wk", "xgboost", "xtable", "zoo" ], "_score": 1.4471580313422192, "_indexed": true, "_nocasepkg": "cimtx", "_universes": [ "jiayiji" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.2.0", "date": "2026-06-04T07:06:45.000Z", "distro": "noble", "commit": "2bb67b80b853b17533139faac3450f799d45a844", "fileid": "a54236fe3fcbaa97a122a6d7726875ff3e6ed5bb3210b636b5c01f0cb635bdcf", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jiayiji/actions/runs/26936236257" }, { "r": "4.6.0", "os": "linux", "version": "1.2.0", "date": "2026-06-04T07:06:49.000Z", "distro": "noble", "commit": "2bb67b80b853b17533139faac3450f799d45a844", "fileid": "e1a9d2fde686b1354fa6146189375dd5c067958e83641e46ea59b7dbb6c9365f", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jiayiji/actions/runs/26936236257" }, { "r": "4.5.3", "os": "mac", "version": "1.2.0", "date": "2026-06-04T07:08:10.000Z", "commit": "2bb67b80b853b17533139faac3450f799d45a844", "fileid": "e27b2f6c5bff3419be01e47b293ff4012d735b0805f604a8820343fd005c735e", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jiayiji/actions/runs/26936236257" }, { "r": "4.6.0", "os": "mac", "version": "1.2.0", "date": "2026-06-04T07:07:39.000Z", "commit": "2bb67b80b853b17533139faac3450f799d45a844", "fileid": "e67c97392303a8d52ee46870fa9e9653fd53c7a7169f40e3fa3fbff23840dfb6", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jiayiji/actions/runs/26936236257" }, { "r": "4.6.0", "os": "wasm", "version": "1.2.0", "date": "2026-06-04T07:06:37.000Z", "commit": "2bb67b80b853b17533139faac3450f799d45a844", "fileid": "c9d2cf8ae930edb770f6ec50dcd544413dc4e3d2c44e9d3fd599a0001e635320", "status": "success", "buildurl": "https://github.com/r-universe/jiayiji/actions/runs/26936236257" }, { "r": "4.7.0", "os": "win", "version": "1.2.0", "date": "2026-06-04T07:06:07.000Z", "commit": "2bb67b80b853b17533139faac3450f799d45a844", "fileid": "b383c1165aad9777e036d33a12b1a3fa8576dffa063a565794d5e983e901a800", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jiayiji/actions/runs/26936236257" }, { "r": "4.5.3", "os": "win", "version": "1.2.0", "date": "2026-06-04T07:05:53.000Z", "commit": "2bb67b80b853b17533139faac3450f799d45a844", "fileid": "c82f63f3151ee0c2a17f6ffaa7f5744a2522a260d7b82a6bab028cb8d654cb36", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jiayiji/actions/runs/26936236257" }, { "r": "4.6.0", "os": "win", "version": "1.2.0", "date": "2026-06-04T07:05:55.000Z", "commit": "2bb67b80b853b17533139faac3450f799d45a844", "fileid": "4a0a97b33e57e1215406e077e839920e0c2eb4fbda2513eb7d6fa63ef883ff4a", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jiayiji/actions/runs/26936236257" } ] }