<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Experimental Design and Inference</dc:title>
  <dc:title>R package EDI version 1.0.2</dc:title>
  <dc:description>Implements a comprehensive suite of experimental designs, both
    fixed (e.g., block, stratified, matched-pair, cluster, factorial, and
    mixed-integer-programming-based optimal designs) and sequential
    (including matching-on-the-fly designs, biased coin designs, and 
    covariate-adaptive urn designs that assign treatment one
    subject at a time while maintaining covariate balance), for
    continuous, incidence, count, proportion, survival, and ordinal response
    types. For each design and response type combination, provides the
    corresponding inference procedures, including exact, asymptotic,
    distribution-free, and resampling-based (bootstrap, jackknife, and
    randomization) methods, so that estimation and testing are always
    matched to how the data were generated. An 'InferenceSuite' facility
    runs all applicable inference procedures for a given design and
    response type at once and reports a single Cauchy-combined p-value
    summarizing their evidence. A built-in simulation framework
    supports power analysis and operating-characteristic studies across
    designs, response types, and inference procedures, with optional
    parallelization via 'mirai'. Missing covariate data is
    handled automatically via built-in imputation. Core numerical routines
    are implemented in C++ via 'Rcpp' for speed on large designs and
    simulation studies. Machine-specific tuning for optimization is
    included.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: R6, checkmate, Rcpp, data.table, survival, missRanger,
missForest, numDeriv, digest, methods, MASS, RhpcBLASctl,
randomizr</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen, RcppNumerical</dc:relation>
  <dc:relation>Suggests: anticlust, blockTools, clinfun, coin, dplyr, mirai, aftgee,
betareg, copula, doParallel, ggplot2, fixest, gamlss.dist,
geepack, glmmTMB, glmnet, icenReg, interval, jsonlite, knitr,
lme4, multgee, nbpMatching, nlme, nnet, ordinal, pscl, qpdf,
quantreg, R.utils, RcppXPtrUtils, Rfit, rmarkdown, testthat,
VGAM, ompr, ompr.roi, ROI.plugin.glpk, sandwich, withr</dc:relation>
  <dc:creator>Adam Kapelner &lt;adam.kapelner@mail.huji.ac.il&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Adam Kapelner [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0001-5985-6792&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-10-07</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=EDI</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.EDI</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
