metaquant: Estimating Means, Standard Deviations and Visualising
Distributions using Quantiles
Implements a novel density-based approach for estimating unknown means, visualizing distributions,
and meta-analyses of quantiles. A detailed vignettes with example datasets and code to prepare data and analyses is available at <https://bookdown.org/a2delivera/metaquant/>.
The methods are described in the pre-print by De Livera, Prendergast and Kumaranathunga (2024, <doi:10.48550/arXiv.2411.10971>).
| Version: |
0.1.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
gld, sld, stats, ggplot2, plotly, magrittr, dplyr, estmeansd |
| Published: |
2025-08-21 |
| Author: |
Udara Kumaranathunga [cre],
Alysha De Livera [aut],
Luke Prendergast [aut] |
| Maintainer: |
Udara Kumaranathunga <U.Kumaranathunga at latrobe.edu.au> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
metaquant results |
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