This package was removed from CRAN on 2018-08-10. Its history is shown below.
Reason: C++ issues were not corrected since 2017 despite reminders
Details below reflect version 0.6, its last release before removal.
NPBayesImpute
0.6Non-Parametric Bayesian Multiple Imputation for Categorical Data
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Overview
About
These routines create multiple imputations of missing at random categorical data, with or without structural zeros. Imputations are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling.
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Tests · ratio 0.00
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Coverage
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Documentation
Documentation
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- Examples that run
- 100%
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- Return-value docs
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- References docs
- 40%
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NPBayesImpute
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Dependencies
Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (2)
methodsRcpp
Imports (0)
none
LinkingTo (1)
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none
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Package Timeline
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 3.6.0 released · 2019-04-26
- archivedRemoved from CRAN2018-08-10C++ issues were not corrected since 2017 despite reminders
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.62016-02-09 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 0.52015-03-23 · diff ↗
- archivedRemoved from CRAN2015-03-13misuse of '\donttest' was not corrected
- 0.42014-11-13 · diff ↗
- 0.32014-09-30 · diff ↗
- 0.22014-09-04 · diff ↗
- 0.12014-08-28
- RR 3.1.0 released · 2014-04-10
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Package metadata
- Total releases
- 6
- License
- GPL (>= 3) OSI
- Bundled data
- 193 KB / 2 files
- Download size
- not tracked yet
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- With dependencies
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