Quick info
Paul D. McNicholas has worked on 16 packages so far. In total, Paul D. McNicholas has worked with 28 other authors on those packages. Impressive teamwork!
Packages overview
Package details
| ClickClustCont | Mixtures of Continuous Time Markov Models Michael P.B. Gallaugher , Paul D. McNicholas |
| ContaminatedMixt | Clustering and Classification with the Contaminated Normal Antonio Punzo , Angelo Mazza , Paul D. McNicholas |
| FPDclustering | PD-Clustering and Related Methods Cristina Tortora , Noe Vidales , Francesco Palumbo , Tina Kalra , Paul D. McNicholas |
| MatSkew | Matrix Skew-T Parameter Estimation Michael P.B. Gallaugher , Paul D. McNicholas |
| MatrixMixtures | Model-Based Clustering via Matrix-Variate Mixture Models Salvatore D. Tomarchio , Michael P.B. Gallaugher , Antonio Punzo , Paul D. McNicholas |
| MixGHD | Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions Cristina Tortora , Aisha ElSherbiny , Ryan P. Browne , Brian C. Franczak , Paul D. McNicholas , Donald D. Amos , ctb]. |
| MixSAL | Mixtures of Multivariate Shifted Asymmetric Laplace (SAL) Distributions Brian C. Franczak , Ryan P. Browne , Paul D. McNicholas , Katherine L. Burak |
| VLF | Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records Taryn B. T. Athey , Paul D. McNicholas , Jarrett D. Phillips |
| longclust | Model-Based Clustering and Classification for Longitudinal Data Paul D. McNicholas , K. Raju Jampani , Sanjeena Subedi |
| mixture | Mixture Models for Clustering and Classification Nik Pocuca , Ryan P. Browne , Paul D. McNicholas |
| oclust | Gaussian Model-Based Clustering with Outliers Katharine M. Clark , Paul D. McNicholas |
| pgmm | Parsimonious Gaussian Mixture Models Paul D. McNicholas , Aisha ElSherbiny , K. Raju Jampani , Aaron F. McDaid , T. Brendan Murphy , Larry Banks |
| sensory | Simultaneous Model-Based Clustering and Imputation via a Progressive Expectation-Maximization Algorithm Brian C. Franczak , Ryan P. Browne , Paul D. McNicholas |
| teigen | Model-Based Clustering and Classification with the Multivariate t Distribution Jeffrey L. Andrews , Jaymeson R. Wickins , Nicholas M. Boers , Paul D. McNicholas |
| uskewFactors | Model-Based Clustering via Mixtures of Unrestricted Skew-t Sactor Analyzer Models Paula M. Murray , Ryan P. Browne , Paul D. McNicholas |
| vscc | Variable Selection for Clustering and Classification Jeffrey L. Andrews , Mackenzie R. Neal , Paul D. McNicholas |