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DESCRIPTION
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DESCRIPTION
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Package: heaven
Type: Package
Title: Data Preparation Routines for Medical Registry Data
Version: 2022.07.13
Author: Helene Charlotte Rytgaard, Anders Munch, Christian Torp-Pedersen, Jannik Pallisgaard, Regitze Kuhr Skals, Peter Enemark Lund, Thomas Alexander Gerds
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>
Description: Fast and furious implementations of often used data preparation steps.
These functions are adapted to Danish registry data. Designed to be used with Statistics Denmark
Depends:
R (>= 3.5.0)
Encoding: UTF-8
Imports:
ggplot2,
data.table(>= 1.9.6),
stats,
graphics,
parallel,
foreach,
utils,
Rcpp,
lava,
lubridate,
scales,
tools,
ISOweek,
usethis
LinkingTo: Rcpp, RcppArmadillo
Suggests:
zoo,
testthat,
doParallel,
survival,
Publish,
sas7bdat,
prodlim,
riskRegression,
knitr,
survminer,
rmarkdown,
R.rsp
License: GPL (>= 3)
RoxygenNote: 7.2.3
VignetteBuilder: knitr,R.rsp
LazyData: true
Collate:
'RcppExports.R'
'averageIncome.R'
'charlsonIndex.R'
'checkMicroData.R'
'createProject.R'
'riskSetMatch.R'
'exposureMatch.R'
'findConditions.R'
'getAdmLimits.R'
'groupAges.R'
'guessRawdataDirectory.R'
'heaven-data.R'
'heaven-package.R'
'hypertensionMedication.R'
'importDREAM.R'
'importSAS.R'
'incidenceMatch.R'
'kommuneRegion.R'
'lexisFromTo.R'
'lexisSeq.R'
'lexisTwo.R'
'listRawdata.R'
'matchReport.R'
'medicinMacro.R'
'mm1.R'
'mm2.R'
'onLoad.R'
'patientProfiles.R'
'poissonRisk.R'
'poissonregression.R'
'print.riskSetMatch.R'
'print.whattodo.R'
'sasWhereConstructors.R'
'scanRawdata.R'
'simAdmissionData.R'
'simPop.R'
'simPrescriptionData.R'
'simpoisson.R'
'splitFromTo.R'
'splitSeq.R'
'splitTwo.R'
'standardize.prodlim.R'
'standardize.proportion.R'
'standardize.rate.R'
'use_drake_project.R'
'whatToDo.R'
'xrecepter.R'