{ "_id": "6ab8e19399f7aa8c6aa38050", "Package": "ppmSuite", "Type": "Package", "Title": "A Collection of Models that Employ Product Partition\nDistributions as a Prior on Partitions", "Version": "0.3.4", "Authors@R": "c(\nperson(given = \"Garritt L.\", family = \"Page\", email = \"page@stat.byu.edu\", role = c(\"aut\", \"cre\", \"cph\")),\nperson(given = \"Jose\", family = \"J. Quinlan\", email = \"jjquinla@uc.cl\", role = c(\"aut\", \"cph\")),\nperson(given = \"S. McKay\", family = \"Curtis\", email = \"s.mckay.curtis@gmail.com\", role = c(\"ctb\", \"cph\")),\nperson(given = \"Radford M.\", family = \"Neal\", role = c(\"ctb\", \"cph\")))", "Maintainer": "Garritt L. Page ", "Description": "Provides a suite of functions that fit models that use PPM\ntype priors for partitions. Models include hierarchical\nGaussian and probit ordinal models with a (covariate dependent)\nPPM. If a covariate dependent product partition model is\nselected, then all the options detailed in Page, G.L.;\nQuintana, F.A. (2018) are\navailable. If covariate values are missing, then the approach\ndetailed in Page, G.L.; Quintana, F.A.; Mueller, P (2020)\n is employed. Also included\nin the package is a function that fits a Gaussian likelihood\nspatial product partition model that is detailed in Page, G.L.;\nQuintana, F.A. (2016) , and multivariate\nPPM change point models that are detailed in Quinlan, J.J.;\nPage, G.L.; Castro, L.M. (2023) . In\naddition, a function that fits a univariate or bivariate\nfunctional data model that employs a PPM or a PPMx to cluster\ncurves based on B-spline coefficients is provided.", "License": "GPL", "Encoding": "UTF-8", "LazyData": "true", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-09-27 09:20:28 UTC", "User": "root" }, "Author": "Garritt L. Page [aut, cre, cph], Jose J. Quinlan [aut, cph], S.\nMcKay Curtis [ctb, cph], Radford M. 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