{"name":"R-DPP","portdir":"R/R-DPP","version":"0.1.2","license":"MIT","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=DPP","description":"Inference of parameters of normal distributions from a mixture of normals","long_description":"This MCMC method takes a data numeric vector (Y) and assigns the elements of Y to a (potentially infinite) number of normal distributions. The individual normal distributions from a mixture of normals can be inferred.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","R"]},{"type":"lib","ports":["R-coda","R-CRAN-recommended","R-Rcpp"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-R.rsp"]}],"depends_on":[]}