{ "_id": "6a4b76bca6574ff277f9b69a", "Package": "eoa3", "Title": "Wildlife Mortality Estimator for Low Fatality Rates and\nImperfect Detection", "Version": "1.0.0.2", "Date": "2024-11-19", "Authors@R": "person(\"Daniel\", \"Dalthorp\", email = \"ddalthorp@protonmail.com\", role = c(\"aut\", \"cre\"))", "Description": "Evidence of Absence software (EoA) is a user-friendly\napplication for estimating bird and bat fatalities at wind\nfarms and designing search protocols. The software is\nparticularly useful in addressing whether the number of\nfatalities has exceeded a given threshold and what search\nparameters are needed to give assurance that thresholds were\nnot exceeded. The models are applicable even when zero\ncarcasses have been found in searches, following Huso et al.\n(2015) , Dalthorp et al. (2017)\n, and Dalthorp and Huso (2015)\n.", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-06 09:31:35 UTC", "User": "root" }, "Author": "Daniel Dalthorp [aut, cre]", "Maintainer": "Daniel Dalthorp ", "Config/pak/sysreqs": "cmake make libgsl0-dev jags libuv1-dev zlib1g-dev", "Repository": "https://ddalthorp.r-universe.dev", "Date/Publication": "2024-11-19 18:50:17 UTC", "RemoteUrl": "https://github.com/cran/eoa3", "RemoteRef": "HEAD", "RemoteSha": "e83ff0bf54261ef5aabd486989246f73b0a3aa6a", "_user": "ddalthorp", "_type": "src", "_file": "eoa3_1.0.0.2.tar.gz", "_fileid": "https://r2.ropensci.org/aab3cfb4a8ffd9a839e864c6ca1892b330c049bfdde6459823746e0112a9269b", "_filesize": 187529, "_sha256": "aab3cfb4a8ffd9a839e864c6ca1892b330c049bfdde6459823746e0112a9269b", "_expires": "2026-10-14T09:34:50.000Z", "_created": "2026-07-06T09:31:35.000Z", "_published": "2026-07-06T09:34:52.048Z", "_jobs": [ { 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true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "ddalthorp", "count": 3, "uuid": 30092223 } ], "_userbio": { "uuid": 30092223, "type": "user", "name": "ddalthorp", "followers": 3 }, "_downloads": { "count": 593, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/eoa3" }, "_searchresults": 0, "_topics": [ "jags", "cpp" ], "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/eoa3.html", "manual.pdf" ], "_realowner": "ddalthorp", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2023-01-16" }, { "version": "1.0.0.1", "date": "2023-07-04" }, { "version": "1.0.0.2", "date": "2024-11-19" } ], "_exports": [ "calcMstar", "est_cp0", "est_g0", "est_pk0", "fmmax", "fmmax.ab", "getab", "MCI", "MpriorOK", "postM", "postM.ab", "sim_cp0", "sim_pk0" ], "_datasets": [ { "name": "cpdata0", "title": "A template for carcass persistence data with interval-censored carcass persistence times", "object": "cpdata0", "class": [ "data.frame" ], "fields": [ "CPmin", "CPmax" ], "rows": 42, "table": true, "tojson": true }, { "name": "days0", "title": "A template for search schedule data", "object": "days0", "class": [ "numeric" ], "fields": [], "table": false, "tojson": true }, { "name": "pkdata0", "title": "A template for summarized searcher efficiency data with the number of carcasses available and the number discovered for N = 12 search occasions", "object": "pkdata0", "class": [ "list" ], "fields": [], "table": true, "tojson": true } ], "_help": [ { "page": "cpdata0", "title": "A template for carcass persistence data with interval-censored carcass persistence times", "topics": [ "cpdata0" ] }, { "page": "days0", "title": "A template for search schedule data", "topics": [ "days0" ] }, { "page": "eoa3", "title": "Evidence of Absence", "topics": [ "eoa3" ] }, { "page": "est_cp0", "title": "Fit cp carcass persistence models", "topics": [ "est_cp0" ] }, { "page": "est_g0", "title": "estimate g from fitted pk and cp models and search schedule", "topics": [ "est_g0" ] }, { "page": "est_pk0", "title": "Fit pk searcher efficiency models", "topics": [ "est_pk0" ] }, { "page": "fmmax", "title": "Find suitable mmax for clipping improper priors for M", "topics": [ "fmmax", "fmmax.ab" ] }, { "page": "getab", "title": "retrieve EoA parameterization from 'survival' parameterization of a fitted cp model (or 'survreg' object with exponential, weibull, lognormal, or loglogistic distribution)", "topics": [ "getab" ] }, { "page": "MpriorOK", "title": "Check validity of format of custom prior for M", "topics": [ "MpriorOK" ] }, { "page": "pkdata0", "title": "A template for summarized searcher efficiency data with the number of carcasses available and the number discovered for N = 12 search occasions", "topics": [ "pkdata0" ] }, { "page": "postM", "title": "Calculate posterior distribution of M and extract statistics (M* and 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