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SPreg

1.0

Bias Reduction in the Skew-Probit Model for a Binary Response

0packages depend
2Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by DongHyuk LeeFirst published 2019-03-161 releasesCRAN page ↗

Provides a function for the estimation of parameters in a binary regression with the skew-probit link function. Naive MLE, Jeffrey type of prior and Cauchy prior type of penalization are implemented, as described in DongHyuk Lee and Samiran Sinha (2019+) doi:10.1080/00949655.2019.1590579.

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Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 54 s · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

2K
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Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0
Imports (2)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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Code & Tests

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Listed in earlier versions (2)
no longer listed · 1.0
no longer listed · 1.0
Package 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
2019-03-16
Total releases
1 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 3.0
Download size
4.1 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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