{ "_id": "6a0f743bacfb0bcc41c60d48", "Title": "Analysis of Data with Measurement Error Using a Validation\nSubsample", "Package": "meerva", "Version": "0.2-2", "Date": "2021-10-26", "ByteCompile": "Yes", "Authors@R": "c(person(c(\"Walter\", \"K\"), \"Kremers\",\nemail=\"kremers.walter@mayo.edu\",\nrole=c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-5714-3473\") ))", "Description": "Sometimes data for analysis are obtained using more\nconvenient or less expensive means yielding \"surrogate\"\nvariables for what could be obtained more accurately, albeit\nwith less convenience; or less conveniently or at more expense\nyielding \"reference\" variables, thought of as being measured\nwithout error. Analysis of the surrogate variables measured\nwith error generally yields biased estimates when the objective\nis to make inference about the reference variables. Often it is\nthought that ignoring the measurement error in surrogate\nvariables only biases effects toward the null hypothesis, but\nthis need not be the case. Measurement errors may bias\nparameter estimates either toward or away from the null\nhypothesis. If one has a data set with surrogate variable data\nfrom the full sample, and also reference variable data from a\nrandomly selected subsample, then one can assess the bias\nintroduced by measurement error in parameter estimation, and\nuse this information to derive improved estimates based upon\nall available data. Formulaically these estimates based upon\nthe reference variables from the validation subsample combined\nwith the surrogate variables from the whole sample can be\ninterpreted as starting with the estimate from reference\nvariables in the validation subsample, and \"augmenting\" this\nwith additional information from the surrogate variables. This\nsuggests the term \"augmented\" estimate. The meerva package\ncalculates these augmented estimates in the regression setting\nwhen there is a randomly selected subsample with both surrogate\nand reference variables. Measurement errors may be differential\nor non-differential, in any or all predictors (simultaneously)\nas well as outcome. The augmented estimates derive, in part,\nfrom the multivariate correlation between regression model\nparameter estimates from the reference variables and the\nsurrogate variables, both from the validation subset. Because\nthe validation subsample is chosen at random any biases imposed\nby measurement error, whether non-differential or differential,\nare reflected in this correlation and these correlations can be\nused to derive estimates for the reference variables using data\nfrom the whole sample. The main functions in the package are\nmeerva.fit which calculates estimates for a dataset, and\nmeerva.sim.block which simulates multiple datasets as described\nby the user, and analyzes these datasets, storing the\nregression coefficient estimates for inspection. The augmented\nestimates, as well as how measurement error may arise in\npractice, is described in more detail by Kremers WK (2021)\n and is an extension of the works by Chen\nY-H, Chen H. (2000) , Chen Y-H.\n(2002) , Wang X, Wang Q (2015)\n and Tong J, Huang J, Chubak J,\net al. (2020) .", "License": "GPL-3", "NeedsCompilation": "no", "Copyright": "Mayo Foundation for Medical Education and Research", "RoxygenNote": "7.1.2", "VignetteBuilder": "R.rsp", "Packaged": { "Date": "2026-05-21 06:48:20 UTC", "User": "root" }, "Author": "Walter K Kremers [aut, cre]\n()", "Maintainer": "Walter K Kremers ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2021-10-27 09:30:06 UTC", "RemoteUrl": "https://github.com/cran/meerva", "RemoteRef": "HEAD", "RemoteSha": "96d0a13964ed65971a3265048efc9325364110c5", "MD5sum": "3600e95781c7f0886d22fb5233a93a98", "_user": "cran", "_type": "src", "_file": "meerva_0.2-2.tar.gz", "_fileid": "25da00dbcf80bfc74ee0bdfce648d6cf868e70b08c5252504d8edc204347fa8e", "_filesize": 369042, "_sha256": "25da00dbcf80bfc74ee0bdfce648d6cf868e70b08c5252504d8edc204347fa8e", "_created": "2026-05-21T06:48:20.000Z", "_published": "2026-05-21T21:08:11.535Z", "_distro": "noble", "_jobs": [ { "job": 77269030520, "time": 121, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7129062659" }, { "job": 77269030749, "time": 117, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7129061602" }, { "job": 77269029825, "time": 178, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7129030435" }, { "job": 77269029479, "time": 107, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7147243184" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26210125286", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/meerva", "_commit": { "id": "96d0a13964ed65971a3265048efc9325364110c5", "author": "Walter K Kremers ", "committer": "cran-robot ", "message": "version 0.2-2\n", "time": 1635327006 }, "_maintainer": { "name": "Walter K Kremers", "email": "kremers.walter@mayo.edu", "orcid": "0000-0001-5714-3473" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.4.0", "role": "Depends" }, { "package": "survival", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "mvtnorm", "role": "Imports" }, { "package": "matrixcalc", "role": "Imports" }, { "package": "R.rsp", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 768, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/meerva" }, "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/meerva.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1-1", "date": "2021-04-19" }, { "version": "0.1-2", "date": "2021-04-27" }, { "version": "0.2-1", "date": "2021-05-13" }, { "version": "0.2-2", "date": "2021-10-27" } ], "_exports": [ "meerva", "meerva.fit", "meerva.sim.block", "meerva.sim.brn", "meerva.sim.cox", "meerva.sim.nrm" ], "_help": [ { "page": "compmse", "title": "Comapre bias, var and MSE", "topics": [ "compmse" ] }, { "page": "coverage", "title": "Calculate coverage probabilties", "topics": [ "coverage" ] }, { "page": "coverage2", "title": "Compare coverage probabilities between two estimators on matched simulations", "topics": [ "coverage2" ] }, { "page": "dfbetac", "title": "Sum dfbeta s According to id_vector Clusters", "topics": [ "dfbetac" ] }, { "page": "meerva", "title": "Analysis of Data with Measurement Error Using a Validation Subsample", "topics": [ "meerva" ] }, { "page": "meerva.fit", "title": "Analysis of Data with Measurement Error Using a Validation Subsample", "topics": [ "meerva.fit" ] }, { "page": "meerva.sim.block", "title": "Simulation of meerva used to Analyze Data with Measurement Error", "topics": [ "meerva.sim.block" ] }, { "page": "meerva.sim.brn", "title": "Simulate logistic Regression Data with Measurement Errors in Outcome and Predictors", "topics": [ "meerva.sim.brn" ] }, { "page": "meerva.sim.cox", "title": "Simulate Cox Regression Data with Measurement Errors in Outcome and Predictors", "topics": [ "meerva.sim.cox" ] }, { "page": "meerva.sim.nrm", "title": "Simulate Linear Regression Data with Measurement Errors in Outcome and Predictors", "topics": [ "meerva.sim.nrm" ] }, { "page": "myttest", "title": "A simple summary description", "topics": [ "myttest" ] }, { "page": "plot.meerva.sim", "title": "Plot results for meerva.sim output object generated by meerva.sim.block function", "topics": [ "plot.meerva.sim" ] }, { "page": "print.meerva", "title": "Print Minimal Summary Information for a meerva Output Object", "topics": [ "print.meerva" ] }, { "page": "print.meerva.sim", "title": "Print Information for a meerva.sim Simulation Study Output Object (alias for summary.meerva.fit())", "topics": [ "print.meerva.sim" ] }, { "page": "reldif", "title": "Calculate relative differences", "topics": [ "reldif" ] }, { "page": "subvec", "title": "Subtract a vector from each row of a matrix", "topics": [ "subvec" ] }, { "page": "summary.meerva", "title": "Summarize Information for a meerva Output Object", "topics": [ "summary.meerva" ] }, { "page": "summary.meerva.sim", "title": "Summarize Information for a meerva.sim Simulation Study Output Object", "topics": [ "summary.meerva.sim" ] }, { "page": "ztest", "title": "Ztest for beta coefficients", "topics": [ "ztest" ] } ], "_rundeps": [ "cli", "cpp11", "dplyr", "farver", "generics", "ggplot2", "glue", "gtable", "isoband", "labeling", "lattice", "lifecycle", "magrittr", "Matrix", "matrixcalc", "mvtnorm", "pillar", "pkgconfig", "purrr", "R6", "RColorBrewer", "rlang", "S7", "scales", "stringi", "stringr", "survival", "tibble", "tidyr", "tidyselect", "utf8", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "meerva_211026.pdf.asis", "filename": "meerva_211026.pdf", "title": "The meerva package", "engine": "R.rsp::asis", "headings": [], "created": "2021-10-27 09:30:06", "modified": "2021-10-27 09:30:06", "commits": 1 } ], "_score": 2, "_indexed": true, "_nocasepkg": "meerva", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.2-2", "date": "2026-05-21T06:50:18.000Z", "distro": "noble", "commit": "96d0a13964ed65971a3265048efc9325364110c5", "fileid": "013b6f55d9515d3c8d25363d4f1b34b94c8b241b08df808fba3e65a4b15ec027", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/cran/actions/runs/26210125286" }, { "r": "4.6.0", "os": "linux", "version": "0.2-2", "date": "2026-05-21T06:50:13.000Z", "distro": "noble", "commit": "96d0a13964ed65971a3265048efc9325364110c5", "fileid": "b77e3b25881a48f60d0cba1f4381e6b9a0eb0f6ed7de13d43f8202a8388ae9cc", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/cran/actions/runs/26210125286" }, { "r": "4.6.0", "os": "wasm", "version": "0.2-2", "date": "2026-05-21T21:07:56.000Z", "commit": "96d0a13964ed65971a3265048efc9325364110c5", "fileid": "cb9e124f465875aea135e1c2afb8c55ec1d3c41859c495d82777d137a3d2c8d6", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26210125286" } ] }