{ "_id": "6a2a84367b7a29ca60048680", "Package": "mdmb", "Type": "Package", "Title": "Model Based Treatment of Missing Data", "Version": "1.9-22", "Date": "2024-07-15 17:26:54", "Author": "Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]", "Maintainer": "Alexander Robitzsch ", "Description": "Contains model-based treatment of missing data for\nregression models with missing values in covariates or the\ndependent variable using maximum likelihood or Bayesian\nestimation (Ibrahim et al., 2005;\n; Luedtke, Robitzsch, & West,\n2020a, 2020b;\n).\nThe regression model can be nonlinear (e.g., interaction\neffects, quadratic effects or B-spline functions). Multilevel\nmodels with missing data in predictors are available for\nBayesian estimation. Substantive-model compatible multiple\nimputation can be also conducted.", "URL": "https://github.com/alexanderrobitzsch/mdmb,\nhttps://sites.google.com/site/alexanderrobitzsch2/software", "License": "GPL (>= 2)", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-11 09:41:59 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-07-16 02:46:07 UTC", "RemoteUrl": "https://github.com/cran/mdmb", "RemoteRef": "HEAD", "RemoteSha": "5d2dada2e474ca8407975b630fafd5f084023eb7", "MD5sum": "34f693028ab15631fc2c22e7383d82c9", "_user": "cran", "_type": "src", "_file": "mdmb_1.9-22.tar.gz", "_fileid": "a6fd4e12c627a2aae727e954daa4f6655bab3075d5b1b661fe0bb103061cab81", "_filesize": 408592, "_sha256": "a6fd4e12c627a2aae727e954daa4f6655bab3075d5b1b661fe0bb103061cab81", "_created": "2026-06-11T09:41:59.000Z", "_published": "2026-06-11T09:47:34.408Z", "_distro": "noble", "_jobs": [ { "job": 80767592478, "time": 244, "config": "linux-devel-arm64", "r": 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"page": "frm", "title": "Factored Regression Model: Generalized Linear Regression Model with Missing Covariates", "topics": [ "coef.frm_em", "coef.frm_fb", "frm", "frm2datlist", "frm_em", "frm_fb", "logLik.frm_em", "plot.frm_fb", "summary.frm_em", "summary.frm_fb", "vcov.frm_em", "vcov.frm_fb" ] }, { "page": "mdmb_regression", "title": "Several Regression Models with Prior Distributions and Sampling Weights", "topics": [ "bct_regression", "coef.bct_regression", "coef.logistic_regression", "coef.oprobit_regression", "coef.yjt_regression", "logistic_regression", "logLik.bct_regression", "logLik.logistic_regression", "logLik.oprobit_regression", "logLik.yjt_regression", "oprobit_regression", "predict.bct_regression", "predict.logistic_regression", "predict.oprobit_regression", "predict.yjt_regression", "summary.bct_regression", "summary.logistic_regression", "summary.oprobit_regression", "summary.yjt_regression", "vcov.bct_regression", "vcov.logistic_regression", 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