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nph
View on CRAN: Click
here
Download and install nph package within the R console
Install from CRAN:
install.packages("nph")
Install from Github:
library("remotes")
install_github("cran/nph")
Install by package version:
library("remotes")
install_version("nph", "2.1")
Attach the package and use:
library("nph")
Maintained by
Robin Ristl
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.nph . nph citation info . nph results . nph.pdf . Examples of non-proportional hazards in clinical trials with nph . Introduction to nph and Usage Instructions . nph_2.1.tar.gz . nph_2.1.zip . nph_2.1.zip . nph_2.1.zip . nph_2.1.tgz . nph_2.1.tgz . nph_2.1.tgz . nph_2.1.tgz . nph_2.1.tgz . nph_2.1.tgz . nph archive . https://CRAN.R-project.org/package=nph .
First Published: 2019-08-23
Latest Update: 2022-05-16
Description:
Piecewise constant hazard functions are used to flexibly model survival distributions with non-proportional hazards and
to simulate data from the specified distributions. A function to calculate weighted log-rank tests for the comparison of two
hazard functions is included. Also, a function to calculate a test using the maximum of a set of test statistics from weighted
log-rank tests (MaxCombo test) is provided. This test utilizes the asymptotic multivariate normal joint distribution of the
separate test statistics. The correlation is estimated from the data. These methods are described in Ristl et al. (2021)
.
Finally, a function is provided for the estimation and inferential statistics of various parameters that quantify the difference
between two survival curves. Eligible parameters are differences in survival probabilities, log survival probabilities,
complementary log log (cloglog) transformed survival probabilities, quantiles of the survival functions, log transformed quantiles,
restricted mean survival times, as well as an average hazard ratio, the Cox model score statistic (logrank statistic), and the
Cox-model hazard ratio. Adjustments for multiple testing and simultaneous confidence intervals are calculated using a multivariate
normal approximation to the set of selected parameters.
How to cite:
Robin Ristl (2019). nph: Planning and Analysing Survival Studies under Non-Proportional Hazards. R package version 2.1, https://cran.r-project.org/web/packages/nph. Accessed 04 Apr. 2025.
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Other R packages that nph depends,
imports, suggests or enhances
Complete documentation for nph
Functions, R codes and Examples using
the nph R package
Some associated functions: logrank.maxtest . logrank.test . m2r . nph_gui . nphparams . pchaz . pembro . plot.mixpch . plot.nphparams . plot_diagram . plot_shhr . plot_subgroups . pop_pchaz . print.nphparams . rSurv_conditional_fun . rSurv_fun . sample_conditional_fun . sample_fun . subpop_pchaz .
Some associated R codes: additional_functions_1-1.R . continuous_functions_1-1.R . paket_nph_2-1_1.R . simultane_Inferenz_Funktionen_nph_1-3.R . Full nph package functions and examples
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