Packaged: 2017-09-26 13:24:30 UTC; gianlucasottile

Title: Clusters of Effects Curves in Quantile Regression Models
Description: Clustering method to cluster both effects curves, through quantile regression coefficient modeling, and curves in functional data analysis. Sottile G. and Adelfio G. (2017) <https://iwsm2017.webhosting.rug.nl/IWSM_2017_V2.pdf>.
Packaged: 2017-12-15 07:42:21 UTC; gianlucasottile

Description: Clustering method to cluster both effects curves, through quantile regression coefficient modeling, and curves in functional data analysis. Sottile G. and Adelfio G. (2019) <doi:10.1007/s00180-018-0817-8>.
Depends: qrcm, cluster, fda, ggpubr, ggplot2
Packaged: 2020-06-08 14:25:36 UTC; gianlucasottile

Packaged: 2022-06-28 08:06:20 UTC; gianlucasottile

Title: Model based clustering for mixed data.
Description: Model-based clustering of mixed data (i.e. data which consist of continuous, binary, ordinal or nominal variables) using a parsimonious mixture of latent Gaussian variable models.
Imports: tmvtnorm, mvtnorm, truncnorm, MASS, mclust, msm
Packaged: 2014-06-12 11:19:06 UTC; clairegormleyoldmac

Title: Model Based Clustering for Mixed Data

Authors@R: c( person("Damien", "McParland", email="damien.mcparland@ucd.ie",
role=c("aut", "cre")), person("Isobel Claire", "Gormley",
Description: Model-based clustering of mixed data (i.e. data which consist of
continuous, binary, ordinal or nominal variables) using a parsimonious
mixture of latent Gaussian variable models.
Imports: ggplot2, mclust, reshape2, MASS, msm, mvtnorm, parallel,

Title: k-Prototypes Clustering for Mixed Variable-Type Data
Description: Functions to perform k-prototypes partitioning clustering for
mixed variable-type data according to Z.Huang (1998): Extensions to the k-Means
Algorithm for Clustering Large Data Sets with Categorical Variables, Data Mining

Packaged: 2016-11-11 09:52:05 UTC; szepannek

Packaged: 2017-07-27 18:31:38 UTC; szepannek

Packaged: 2017-08-16 09:28:07 UTC; szepannek

Packaged: 2017-09-04 05:41:52 UTC; szepannek