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NEWS
Version 1.1.3 (2019-09-17)
- Prediction & Confidence interval: the
pima and cima functions
- Back-transformartion for logarithmic scale outcomes (print & plot function; thanks to Dr. Morio Aihara).
- CITATION was updated.
- Vignette was updated.
Version 1.1.2 (2019-03-11)
- Prediction interval: the
pima function
- Parallel computing for the parametric bootstrap method (see a Vignette file).
- Forest plot (see a Vignette file).
- Kenward-Rogerâs approach.
- Confidence interval: the
cima function
- A Wald-type t-distribution confidence interval. Variance estimator of the average effect: an approximate estimator. Heterogeneity variance: Dersimonian-Laird estimator.
- A Wald-type t-distribution confidence interval. Variance estimator of the average effect: an approximate, Hartung-Knapp, Sidik-Jonkman, Kenward-Roger estimators. Heterogeneity variance: REML estimator.
- Profile likelihood confidence interval.
- Profile likelihood confidence interval with a Bartlett type correction.
- Forest plot.
- Heterogeneity variance estimators: the
tau2h function
- DerSimonian-Laird estimator.
- Variance component type estimator.
- PauleâMandel estimator.
- Hartung-Makambi estimator.
- HunterâSchmidt estimator.
- Maximum likelihood estimator.
- Restricted maximum likelihood estimator.
- Approximate restricted maximum likelihood estimator.
- SidikâJonkman estimator.
- SidikâJonkman improved estimator.
- Empirical Bayes estimator.
- Bayes modal estimator.
- ML and REML confidence intervals.
- Converting binary data: the
convert_bin function
- Converting binary data to logarithmic odds ratio (see a Vignette file).
- Converting binary data to logarithmic relative risk.
- Converting binary data to risk difference.
- The distribution of a positive linear combination of chiqaure random variables: the
pwchisq function
Version 1.1.1 (2018-09-15)
Version 1.1.0 (2018-09-14)
- Refined the package structure.
- New function
pima is available (see a Vignette file).
Version 1.0.1 (2018-05-11)
- Updated citation informations.
Version 1.0.0 (2018-04-05)
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