paul d. mcnicholas

16 Packages

0.3 R~Index

Package ⇅	Year	Total~Citation	Imported
CDGHMM: Hidden Markov Models for Multivariate Panel Data (Version 0.1.0)Contributor	2024	0	0
ClickClustCont: Mixtures of Continuous Time Markov Models (Version 0.1.7)Contributor	2019	0	0
ContaminatedMixt: Clustering and Classification with the Contaminated Normal (Version 1.3.8)Contributor	2015	1	1
FPDclustering: PD-Clustering and Related Methods (Version 2.3.1)Contributor	2014	0	0
longclust: Model-Based Clustering and Classification for Longitudinal Data (Version 1.5)Maintainer	2012	0	0
MatrixMixtures: Model-Based Clustering via Matrix-Variate Mixture Models (Version 1.0.0)Contributor	2021	0	0
MatSkew: Matrix Skew-T Parameter Estimation (Version 0.1.5)Contributor	2019	0	0
MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions (Version 2.3.7)Contributor	2014	1	1
mixSPE: Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification (Version 0.9.2)Contributor	2019	0	0
mixture: Mixture Models for Clustering and Classification (Version 2.1.1)Maintainer	2013	4	4
oclust: Gaussian Model-Based Clustering with Outliers (Version 0.2.0)Maintainer	2019	0	0
pgmm: Parsimonious Gaussian Mixture Models (Version 1.2.7)Maintainer	2011	2	2
sensory: Simultaneous Model-Based Clustering and Imputation via a Progressive Expectation-Maximization Algorithm (Version 1.1)Contributor	2014	0	0
teigen: Model-Based Clustering and Classification with the Multivariate t Distribution (Version 2.2.2)Contributor	2012	1	1
uskewFactors: Model-Based Clustering via Mixtures of Unrestricted Skew-t Sactor Analyzer Models (Version 2.0)Contributor	2014	0	0
vscc: Variable Selection for Clustering and Classification (Version 0.7)Maintainer	2013	0	0

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.

paul d. mcnicholas

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