Xi'an's Og

A new version of the R package abcrf has been posted on Friday by Jean-Michel Marin, in conjunction with the recent arXival of our paper on point estimation via ABC and random forests. The new R functions come to supplement the existing ones towards implementing ABC point estimation:

1. covRegAbcrf, which predicts the posterior covariance between those two response variables, given a new dataset of summaries.
2. plot.regAbcrf, which provides a variable importance plot;
3. predict.regabcrf, which predicts the posterior expectation, median, variance, quantiles for a given parameter and a new dataset;
4. regAbcrf, which produces a regression random forest from a reference table aimed out predicting posterior expectation, variance and quantiles for a parameter;
5. snp, a simulated example in population genetics used as reference table in our Bioinformatics paper.

Unfortunately, we could not produce directly a diyabc2abcrf function for translating a regular DIYABC output into a proper abcrf format, since the translation has to occur in DIYABC instead. And even this is not a straightforward move (to be corrected in the next version of DIYABC).

This entry was posted on June 7, 2016 at 12:16 am and is filed under pictures, R, Statistics, University life with tags ABC, CRAN, DIYABC, population genetics, R, random forests, regression random forest. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.