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This package was removed from CRAN on 2014-10-31. Its history is shown below.
Reason: never updated despite multiple reminders
Details below reflect version 1.2.1, its last release before removal.

STARSEQ

1.2.1

Secondary Trait Association analysis for Rare variants via SEQuence data

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Overview

About
Maintained by Dajiang Liu2 releasesCRAN page ↗

STARSEQ is an R-package for detecting associations with rare variants using selected samples in sequence-based association studies. It corrects for the bias in the secondary trait distribution induced by selective sampling on the primary trait. The corrected secondary trait can be analyzed by standard rare variant tests. In the STARSEQ package, several popular rare variant tests were implemented, which include 1.) combined multivariate and collapsing 2.) weighted sum statistics, 3.) kernel based adaptive cluster, 4.) variable threshold test 5.) sequence kernel association test.

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Documentation

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STARSEQ
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Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Imports (0)
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Code & Tests

Code Composition
C++ 1,197 (43%)Rd 804 (29%)R 774 (28%)
Code characteristics
Cyclomatic complexity
3.0 median / 9 max

Test coverage

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Functions

53 0 exported

Complexity

3.9 avg / 9 max

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53 nodes / 44 edges

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People & History

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Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 3.2.0 released · 2015-04-16
  • archivedRemoved from CRAN
    2014-10-31
    never updated despite multiple reminders
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
  • 1.2.1
    2012-05-15 · diff ↗
  • 1.02
    2012-05-15
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

Total releases
2
License
GPL-3 OSI
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