Package: adpss 0.1.2

adpss: Design and Analysis of Locally or Globally Efficient Adaptive Designs

Provides the functions for planning and conducting a clinical trial with adaptive sample size determination. Maximal statistical efficiency will be exploited even when dramatic or multiple adaptations are made. Such a trial consists of adaptive determination of sample size at an interim analysis and implementation of frequentist statistical test at the interim and final analysis with a prefixed significance level. The required assumptions for the stage-wise test statistics are independent and stationary increments and normality. Predetermination of adaptation rule is not required.

Authors:Kosuke Kashiwabara [aut, cre]

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adpss.pdf |adpss.html
adpss/json (API)
NEWS

# Install 'adpss' in R:
install.packages('adpss', repos = c('https://ca4wa.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ca4wa/r-adpss/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.70 score 6 scripts 308 downloads 6 exports 1 dependencies

Last updated 2 years agofrom:fa0cb62bd7. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:adaptive_analysis_norm_globaladaptive_analysis_norm_localexp_sample_size_norm_globalsample_size_norm_globalsample_size_norm_localwork_test_norm_global

Dependencies:Rcpp

Design and Analysis of Clinical Trials with Fully Flexible Adaptive Sample Size Determination

Rendered fromadpss_ex.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2018-07-11
Started: 2018-07-11