R Scholar logoR Package Scholar

paul d. mcnicholas

16 Packages
Package ⇅ Year Total~Citation
CDGHMM: Hidden Markov Models for Multivariate Panel Data (Version 0.1.1)Contributor

2024 0
ClickClustCont: Mixtures of Continuous Time Markov Models (Version 0.1.7)Contributor

2019 0
ContaminatedMixt: Clustering and Classification with the Contaminated Normal (Version 1.3.8)Contributor

2015 1
FPDclustering: PD-Clustering and Related Methods (Version 2.3.2)Contributor

2014 0
longclust: Model-Based Clustering and Classification for Longitudinal Data (Version 1.5)Maintainer

2012 0
MatrixMixtures: Model-Based Clustering via Matrix-Variate Mixture Models (Version 1.0.0)Contributor

2021 0
MatSkew: Matrix Skew-T Parameter Estimation (Version 0.1.5)Contributor

2019 0
MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions (Version 2.3.7)Contributor

2014 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
mixture: Mixture Models for Clustering and Classification (Version 2.1.1)Maintainer

2013 4
oclust: Gaussian Model-Based Clustering with Outliers (Version 0.2.0)Maintainer

2019 0
pgmm: Parsimonious Gaussian Mixture Models (Version 1.2.7)Maintainer

2011 2
sensory: Simultaneous Model-Based Clustering and Imputation via a Progressive Expectation-Maximization Algorithm (Version 1.1)Contributor

2014 0
teigen: Model-Based Clustering and Classification with the Multivariate t Distribution (Version 2.2.2)Contributor

2012 1
uskewFactors: Model-Based Clustering via Mixtures of Unrestricted Skew-t Sactor Analyzer Models (Version 2.0)Contributor

2014 0
vscc: Variable Selection for Clustering and Classification (Version 0.7)Maintainer

2013 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.

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