{"name":"R-agfh","portdir":"R/R-agfh","version":"0.2.1","license":"GPL-3+","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=agfh","description":"Agnostic Fay–Herriot Model for Small Area Statistics","long_description":"Implements the Agnostic Fay–Herriot model, an extension of the traditional small area model. In place of normal sampling errors, the sampling error distribution is estimated with a Gaussian process to accommodate a broader class of distributions. This flexibility is most useful in the presence of bounded, multi-modal or heavily skewed sampling errors.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-goftest","R-CRAN-recommended","R-mvtnorm","R-ks","R-ggplot2"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-knitr","R-testthat","R-rmarkdown"]}],"depends_on":[]}