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1.0.0

Graphical Approach Optimal Sample Size

0packages depend
1.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jiangtao GouFirst published 2023-08-171 releasesCRAN page ↗

Graphical approach provides a useful framework for multiplicity adjustment in clinical trials with multiple endpoints. This package includes statistical methods to optimize sample size over initial weight and transition probability in a graphical approach under a common setting, which is to use marginal power for each endpoint in a trial design. See Zhang, F. and Gou, J. (2023). Sample size optimization for clinical trials using graphical approaches for multiplicity adjustment, Technical Report.

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Health

CRAN checks
13OK
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
None
Vignettes
No
README
4
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Downloads

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Rank #22,647 · ~5/day · ~162/mo
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Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.2.0
Imports (4)
GAgraphicsmvtnormstats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Code Composition
R 452 (69%)Rd 206 (31%)

Test coverage

Line coverage

Expression

Tests / Examples

Functions

3 3 exported

Complexity

2.3 avg / 3 max

Call network

3 nodes / 0 edges

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Lowest coverage

Per-function coverage is not measured for this package yet.

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Release timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2023-08-17
Total releases
1 / 3 yrs
License
GPL-3 OSI
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet