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Performs a sensitivity analysis using weighted rank tests in observational studies with I blocks of size J; see Rosenbaum (2018) <doi:10.1214/18-AOAS1153>. The package can perform adaptive inference in block designs; see Rosenbaum (2012) <doi:10.1093/biomet/ass032>. The main functions are wgtRank() and wgtRanktt() and ef2C().
| Version: | 0.2.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, graphics, mvtnorm, sensitivitymv |
| Suggests: | sensitivitymw, sensitivitymult, DOS2 |
| Published: | 2023-05-08 |
| Author: | Paul Rosenbaum [aut, cre] |
| Maintainer: | Paul Rosenbaum <rosenbaum at wharton.upenn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | weightedRank results |
| Reference manual: | weightedRank.pdf |
| Package source: | weightedRank_0.2.5.tar.gz |
| Windows binaries: | r-devel: weightedRank_0.2.5.zip, r-release: weightedRank_0.2.5.zip, r-oldrel: weightedRank_0.2.5.zip |
| macOS binaries: | r-release (arm64): weightedRank_0.2.5.tgz, r-oldrel (arm64): weightedRank_0.2.5.tgz, r-release (x86_64): weightedRank_0.2.5.tgz, r-oldrel (x86_64): weightedRank_0.2.5.tgz |
| Old sources: | weightedRank archive |
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