Package: natstrat 2.0.0

natstrat: Obtain Unweighted Natural Strata that Balance Many Covariates

Natural strata can be used in observational studies to balance the distributions of many covariates across any number of treatment groups and any number of comparisons. These strata have proportional amounts of units within each stratum across the treatments, allowing for simple interpretation and aggregation across strata. Within each stratum, the units are chosen using randomized rounding of a linear program that balances many covariates. To solve the linear program, the 'Gurobi' commercial optimization software is recommended, but not required. The 'gurobi' R package can be installed following the instructions at <https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html>.

Authors:Katherine Brumberg [aut, cre]

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natstrat.pdf |natstrat.html
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NEWS

# Install 'natstrat' in R:
install.packages('natstrat', repos = c('https://kkbrum.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kkbrum/natstrat/issues

Datasets:
  • nh0506 - Homocysteine and smoking example data
  • nh0506_3groups - Homocysteine and smoking example data with multiple control groups

On CRAN:

3.70 score 3 scripts 194 downloads 6 exports 81 dependencies

Last updated 3 years agofrom:92d452124e. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winNOTENov 10 2024
R-4.4-macNOTENov 10 2024
R-4.3-winNOTENov 10 2024
R-4.3-macNOTENov 10 2024

Exports:check_balancecreate_dist_matrixgenerate_constraintsgenerate_qsoptimize_controlsstand

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlpSolvelubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrppspROCprodlimprogressrproxypurrrR6ramifyRColorBrewerRcpprecipesreshape2RglpkrlangrpartsamplingscalesshapeslamSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr

Introduction to natstrat

Rendered fromnatstrat.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2021-10-15
Started: 2021-05-14