mRm
1.1.6An R Package for Conditional Maximum Likelihood Estimation in Mixed Rasch Models
Overview
Conditional maximum likelihood estimation via the EM algorithm and information-criterion-based model selection in binary mixed Rasch models.
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Documentation
- Examples that run
- 100%
- Documented parameters
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- Return-value docs
- 100%
- References docs
- 60%
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Code & Tests
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2019-12-02maintainer declined to correct long-term installation issues
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.1.62016-12-27 · diff ↗
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 1.1.52013-12-02 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 1.1.42012-07-06 · diff ↗
- 1.1.32012-07-06 · diff ↗
- RR 2.15.0 released · 2012-03-30
- 1.1.22012-01-16 · diff ↗
- 1.1.12012-01-15 · diff ↗
Show 3 earlier events
- RR 2.14.0 released · 2011-10-31
- 1.02011-05-26
- RR 2.13.0 released · 2011-04-13
Package metadata
- Total releases
- 7
- License
- GPL-2 OSI
- Download size
- not tracked yet
- Installed size
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- With dependencies
- not tracked yet
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