{ "_id": "6a215fd3cd65a98ecbd3053b", "Package": "popEpi", "Title": "Functions for Epidemiological Analysis using Population Data", "Version": "0.4.13.61", "Authors@R": "c(\nperson(\"Joonas\", \"Miettinen\", , \"joonas.miettinen@cancer.fi\", role = c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0000-0001-8624-6754\")),\nperson(\"Matti\", \"Rantanen\", , \"matti.rantanen@statfinn.com\", role = \"aut\"),\nperson(\"Karri\", \"Seppa\", , \"karri.seppa@cancer.fi\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-3847-8814\"))\n)", "Description": "Enables computation of epidemiological statistics,\nincluding those where counts or mortality rates of the\nreference population are used. Currently supported: excess\nhazard models (Dickman, Sloggett, Hills, and Hakulinen (2012)\n), rates, mean survival times,\nrelative/net survival (in particular the Ederer II (Ederer and\nHeise (1959)) and Pohar Perme (Pohar Perme, Stare, and Esteve\n(2012) ) estimators), and\nstandardized incidence and mortality ratios, all of which can\nbe easily adjusted for by covariates such as age. Fast\nsplitting and aggregation of 'Lexis' objects (from package\n'Epi') and other computations achieved using 'data.table'.", "License": "MIT + file LICENSE", "URL": "https://github.com/FinnishCancerRegistry/popEpi", "BugReports": "https://github.com/FinnishCancerRegistry/popEpi/issues", "VignetteBuilder": "knitr", "ByteCompile": "true", "Config/roxygen2/version": "8.0.0", "Encoding": "UTF-8", "Language": "en-GB", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "Repository": "https://finnishcancerregistry.r-universe.dev", "Date/Publication": "2026-06-04 07:56:10 UTC", "RemoteUrl": "https://github.com/finnishcancerregistry/popepi", "RemoteRef": "HEAD", "RemoteSha": "f5257c1ac578a014b1625a26b55dd54f2229c996", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 11:11:51 UTC", "User": "root" }, "Author": "Joonas Miettinen [cre, aut] (ORCID:\n),\nMatti Rantanen [aut],\nKarri Seppa [ctb] (ORCID: )", "Maintainer": "Joonas Miettinen ", "MD5sum": 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numeric", "topics": [ "fac2num" ] }, { "page": "flexible_argument", "title": "Flexible Variable Usage in 'popEpi' Functions", "concept": [ "popEpi argument evaluation docs" ], "topics": [ "flexible_argument" ] }, { "page": "get.yrs", "title": "Fractional Years", "topics": [ "get.yrs" ] }, { "page": "ICSS", "title": "Age standardisation weights from the ICSS scheme.", "concept": [ "popEpi data", "weights" ], "topics": [ "ICSS" ] }, { "page": "is_leap_year", "title": "Detect leap years", "topics": [ "is_leap_year" ] }, { "page": "is.Date", "title": "Test if object is a 'Date' object", "topics": [ "is.Date" ] }, { "page": "lexis_funs", "title": "'Lexis' Datasets", "concept": [ "Lexis_functions" ], "topics": [ "Lexis_dt", "Lexis_fpa", "lexis_funs" ] }, { "page": "lexis_merge", "title": "Merge Data into 'Lexis' Object", "concept": [ "Lexis_functions" ], "topics": [ "lexis_merge" ] }, { "page": "lexis_split_merge_aggregate_by_stratum", "title": "Split, Merge, and Aggregate a 'Lexis' Object", "concept": [ "Lexis_functions" ], "topics": [ "lexis_split_merge_aggregate_by_stratum" ] }, { "page": "lexpand", "title": "Split case-level observations", "concept": [ "aggregation functions", "splitting functions" ], "topics": [ "lexpand" ] }, { "page": "lines.sirspline", "title": "lines method for sirspline-object", "concept": [ "sir functions" ], "topics": [ "lines.sirspline" ] }, { "page": "lines.survmean", "title": "Graphically Inspect Curves Used in Mean Survival Computation", "concept": [ "survmean functions" ], "topics": [ "lines.survmean" ] }, { "page": "lines.survtab", "title": "'lines' method for survtab objects", "concept": [ "survtab functions" ], "topics": [ "lines.survtab" ] }, { "page": "lower_bound", "title": "Return lower_bound value from char string (20,30]", "topics": [ "lower_bound" ] }, { "page": "ltable", "title": "Tabulate Counts and Other Functions by Multiple Variables into a Long-Format Table", "topics": [ "expr.by.cj", "ltable" ] }, { "page": "meanpop_fi", "title": "Mean population counts in Finland year, sex, and age group.", "concept": [ "popEpi data" ], "topics": [ "meanpop_fi" ] }, { "page": "na2zero", "title": "Convert NA's to zero in data.table", "topics": [ "na2zero" ] }, { "page": "plot.rate", "title": "plot method for rate object", "topics": [ "plot.rate" ] }, { "page": "plot.sir", "title": "Plot method for sir-object", "topics": [ "plot.sir" ] }, { "page": "plot.sirspline", "title": "'plot' method for sirspline-object", "concept": [ "sir functions" ], "topics": [ "plot.sirspline" ] }, { "page": "plot.survmean", "title": "Graphically Inspect Curves Used in Mean Survival Computation", "concept": [ "survmean functions" ], "topics": [ "plot.survmean" ] }, { "page": "plot.survtab", "title": "'plot' method for survtab objects", "concept": [ "survtab functions" ], "topics": [ "plot.survtab" ] }, { "page": "poisson.ci", "title": "Get rate and exact Poisson confidence intervals", "topics": [ "poisson.ci" ] }, { "page": "pophaz", "title": "Expected / Population Hazard Data Sets Usage in 'popEpi'", "topics": [ "pophaz" ] }, { "page": "popmort", "title": "Population mortality rates in Finland 1951 - 2013 in 101 age groups and by gender. This is an example of a population hazard table as used in 'popEpi'; for the general help page, see [pophaz].", "concept": [ "popEpi data" ], "topics": [ "popmort" ] }, { "page": "prepExpo", "title": "Prepare Exposure Data for Aggregation", "topics": [ "prepExpo" ] }, { "page": "prev_functions", "title": "Prevalence", "topics": [ "prev_functions", "prev_lexis" ] }, { "page": "print.aggre", "title": "Print an 'aggre' Object", "topics": [ "print.aggre" ] }, { "page": "print.rate", "title": "Print an rate object", "topics": [ "print.rate" ] }, { "page": "print.survtab", "title": "Print a survtab Object", "concept": [ "survtab functions" ], "topics": [ "print.survtab" ] }, { "page": "rate", "title": "Direct-Standardised Incidence/Mortality Rates", "concept": [ "main functions", "rate functions" ], "topics": [ "rate" ] }, { "page": "rate_ratio", "title": "Confidence intervals for the rate ratios", "concept": [ "rate functions" ], "topics": [ "rate_ratio" ] }, { "page": "relpois", "title": "Excess hazard Poisson model", "concept": [ "main functions", "relpois functions" ], "topics": [ "relpois" ] }, { "page": "relpois_ag", "title": "Excess hazard Poisson model", "concept": [ "main functions", "relpois functions" ], "topics": [ "relpois_ag" ] }, { "page": "robust_values", "title": "Convert values to numeric robustly", "topics": [ "robust_values" ] }, { "page": "rpcurve", "title": "Marginal piecewise parametric relative survival curve", "concept": [ "relpois functions" ], "topics": [ "rpcurve" ] }, { "page": "RPL", "title": "Relative Poisson family object", "concept": [ "relpois functions" ], "topics": [ "RPL" ] }, { "page": "setaggre", "title": "Set 'aggre' attributes to an object by modifying in place", "concept": [ "aggregation functions" ], "topics": [ "setaggre" ] }, { "page": "setclass", "title": "Set the class of an object (convenience function for 'setattr(obj, \"class\", CLASS)'); can add instead of replace", "topics": [ "setclass" ] }, { "page": "setcolsnull", "title": "Delete 'data.table' columns if there", "topics": [ "setcolsnull" ] }, { "page": "sibr", "title": "sibr - a simulated cohort of Finnish female breast cancer patients", "concept": [ "popEpi data", "survival data" ], "topics": [ "sibr" ] }, { "page": "sir", "title": "Calculate SIR or SMR", "concept": [ "main functions", "sir functions" ], "topics": [ "sir" ] }, { "page": "sir_exp", "title": "Calculate SMR", "concept": [ "sir functions" ], "topics": [ "sir_ag", "sir_exp", "sir_lex" ] }, { "page": "sir_ratio", "title": "Confidence intervals for the ratio of two SIRs/SMRs", "concept": [ "sir functions" ], "topics": [ "sir_ratio" ] }, { "page": "sire", "title": "sire - a simulated cohort of Finnish female rectal cancer patients", "concept": [ "popEpi data", "survival data" ], "topics": [ "sire" ] }, { "page": "sirspline", "title": "Estimate splines for SIR or SMR", "concept": [ "main functions", "sir functions" ], "topics": [ "sirspline" ] }, { "page": "splitLexisDT", "title": "Split case-level observations", "concept": [ "splitting functions" ], "topics": [ "splitLexisDT" ] }, { "page": "splitMulti", "title": "Split case-level observations", "concept": [ "splitting functions" ], "topics": [ "splitMulti" ] }, { "page": "stdpop101", "title": "World standard population by 1 year age groups from 1 to 101. 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