Piecewise constant hazard functions are used to flexibly model survival distributions with non-proportional hazards and to simulate data from the specified distributions. Also, a function to calculate weighted log-rank tests for the comparison of two hazard functions is included. Finally, a function to calculate a test using the maximum of a set of test statistics from weighted log-rank tests is provided. This test utilizes the asymptotic multivariate normal joint distribution of the separate test statistics. The correlation is estimated from the data.
| Version: | 2.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | stats, graphics, mvtnorm, ggplot2 |
| Suggests: | knitr, shiny, shinycssloaders, formatR, styler, rmarkdown |
| Published: | 2020-01-10 |
| Author: | Robin Ristl [aut, cre], Nicolas Ballarini [ctb] |
| Maintainer: | Robin Ristl <robin.ristl at meduniwien.ac.at> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | nph results |
| Reference manual: | nph.pdf |
| Vignettes: |
Examples of non-proportional hazards in clinical trials with nph Introduction to nph and Usage Instructions |
| Package source: | nph_2.0.tar.gz |
| Windows binaries: | r-devel: nph_2.0.zip, r-release: nph_2.0.zip, r-oldrel: nph_2.0.zip |
| macOS binaries: | r-release: nph_2.0.tgz, r-oldrel: nph_2.0.tgz |
| Old sources: | nph archive |
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