Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformations based, see e.g. Bagkavos (2008), <doi:10.1080/10485250802440184>, discrete and semiparametric hazard rate estimators.

An R-package for calculating sample size of a survival trial with or without cure fractions.

Performs combination tests and sample size calculation for 
   fixed design with survival endpoints using combination tests under either
   proportional hazards or non-proportional hazards. The combination tests 
   include maximum weighted log-rank test and projection test. The sample 
   size calculation procedure is very flexible, allowing for user-defined
   hazard ratio function and considering various trial conditions like 
   staggered entry, drop-out etc. The sample size calculation also applies to 
   various cure models such as proportional hazards cure model, cure model with
   (random) delayed treatments effects. Trial simulation function is also provided 
   to facilitate the empirical power calculation. The references for 
   projection test and maximum weighted logrank test include Brendel et al. (2014)
   <doi:10.1111/sjos.12059> and Cheng and He (2021) <arXiv:2110.03833>. The 
   references for sample size calculation under proportional hazard include
   Schoenfeld (1981) <doi:10.1093/biomet/68.1.316> and Freedman (1982) <doi:10.1002/sim.4780010204>.
   The references for calculation under non-proportional hazards include 
   Lakatos (1988) <doi:10.2307/2531910> and Cheng and He (2023) <doi:10.1002/bimj.202100403>.

Perform a stratified weighted log-rank test in a randomized controlled trial. Tests can be visualized as a difference in average score on the two treatment arms. These methods are described in Magirr and Burman (2018) <doi:10.48550/arXiv.1807.11097>, Magirr (2020) <doi:10.48550/arXiv.2007.04767>, and Magirr and Jimenez (2022) <doi:10.48550/arXiv.2201.10445>.

Access the United States National Provider Identifier
    Registry API <https://npiregistry.cms.hhs.gov/api/>. Obtain and transform
    administrative data linked to a specific individual or organizational
    healthcare provider, or perform advanced searches based on provider name,
    location, type of service, credentials, and other attributes exposed by
    the API.