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survBootOutliers

1.0

Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis

0packages depend
3.2Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Joao PintoFirst published 2018-05-281 releasesCRAN page ↗GitHub ↗

Three new methods to perform outlier detection in a survival context. In total there are six methods provided, the first three methods are traditional residual-based outlier detection methods, the second three are the concordance-based. Package developed during the work on the two following publications: Pinto J., Carvalho A. and Vinga S. (2015) doi:10.5220/0005225300750082; Pinto J.D., Carvalho A.M., Vinga S. (2015) doi:10.1007/978-3-319-27926-8_22.

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Health

CRAN checks
2NOTE11OK
Failing flavors
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Slowest check: 2.8 min · r-devel-linux-x86_64-fedora-gcc
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
Yes
Vignettes
No
README
4
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Repository

Repository
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Last activity 2018-05-27

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (3)
R >= 3.4.0survivalstats
Imports (2)
methodsutils
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
R 809 (78%)Rd 160 (15%)Vignettes 74 (7%)
Code characteristics
Cyclomatic complexity
2.0 median / 22 max
Documented parameters
100%

Test coverage

Line coverage

Expression

Tests / Examples

Functions

15 3 exported

Complexity

4.7 avg / 22 max

Call network

15 nodes / 13 edges

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Release timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2018-05-28
Total releases
1 / 8 yrs
License
GPL-2 OSI
Minimum R
≥ 3.4.0
Download size
161 KB
Installed size
not tracked yet
With dependencies
not tracked yet