• PGMM

  • Referenced in 70 articles [sw07981]
  • package pgmm: Parsimonious Gaussian mixture models. Carries out model-based clustering or classification using parsimonious...
  • Mixmod

  • Referenced in 36 articles [sw06991]
  • multivariate Gaussian mixtures, and fourteen different Gaussian models can be distinguished according to different assumptions ... different information criteria for choosing a parsimonious model (the number of mixture components, for instance...
  • funHDDC

  • Referenced in 21 articles [sw11130]
  • between groups, a family of parsimonious models is exhibited which allow to fit onto various...
  • SINDy

  • Referenced in 24 articles [sw30277]
  • models, hereafter referred to as Galerkin regression models, incorporate many beneficial aspects of Galerkin projection ... Navier-Stokes equations. Instead, the most parsimonious nonlinear model is determined that is consistent with...
  • mixture

  • Referenced in 22 articles [sw14633]
  • implementation of all 14 Gaussian parsimonious clustering models (GPCMs) for model-based clustering and model...
  • SSS

  • Referenced in 31 articles [sw07794]
  • aspects, priors over the model space that induce sparsity and parsimony over and above ... performance characteristics in large-scale regression model searches. We also provide software implementing the methods...
  • bfa

  • Referenced in 23 articles [sw07430]
  • mixed data. Gaussian factor models have proven widely useful for parsimoniously characterizing dependence in multivariate ... Gaussian variables or through generalized latent trait models accommodating measurements in the exponential family. However...
  • mtclust

  • Referenced in 3 articles [sw34571]
  • Robust inference for parsimonious model-based clustering. We introduce a robust clustering procedure for parsimonious ... needed for certain model formulations, leading to affine invariant robust parsimonious clustering. We illustrate...
  • RPOLY

  • Referenced in 10 articles [sw05301]
  • computational problem. Among others, pure parsimony is a viable modeling approach to solve the problem ... approach for the haplotype inference by pure parsimony (HIPP) problem. Moreover, an extensive evaluation...
  • ContaminatedMixt

  • Referenced in 10 articles [sw21014]
  • ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions. We introduce ... Thirteen variants of the model are also implemented to introduce parsimony. The expectation-conditional maximization ... maximum likelihood parameter estimates, and likelihood-based model selection criteria are used to select...
  • clustMD

  • Referenced in 10 articles [sw25059]
  • clustMD: Model Based Clustering for Mixed Data. Model-based clustering of mixed data (i.e. data ... nominal variables) using a parsimonious mixture of latent Gaussian variable models...
  • VADER

  • Referenced in 4 articles [sw39061]
  • VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text. The inherent ... present VADER, a simple rule-based model for general sentiment analysis, and compare its effectiveness ... sentiment intensity. Interestingly, using our parsimonious rule-based model to assess the sentiment of tweets...
  • gaga

  • Referenced in 4 articles [sw06101]
  • Gaga: a parsimonious and flexible model for differential expression analysis Bioconductor version: Release (2.10) Implements...
  • ecceTERA

  • Referenced in 6 articles [sw24891]
  • comprehensive gene tree-species tree reconciliation using parsimony. A gene tree-species tree reconciliation explains ... model of gene-family evolution. We describe ecceTERA, a program that implements a generic parsimony ... ecceTERA reconciliation model and algorithm generalize or improve upon most published DTL parsimony algorithms...
  • qrcm

  • Referenced in 8 articles [sw16728]
  • this article, we describe an approach to modeling the regression coefficients as parametric functions ... terms of parsimony, efficiency, and may expand the potential of statistical modeling. Goodness...
  • MoEClust

  • Referenced in 1 article [sw35305]
  • package MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component. Clustering via parsimonious ... /s11634-019-00373-8>. This package fits finite Gaussian mixture models with a formula interface for supplying gating ... expert network covariates using a range of parsimonious covariance parameterisations from the GPCM family ... algorithm. Visualisation of the results of such models using generalised pairs plots and the inclusion...
  • cpr

  • Referenced in 1 article [sw20286]
  • Package For Finding Parsimonious B-Spline Regression Models via Control Polygon Reduction and Control ... provides tools for selection of parsimonious B-spline regression models via algorithms coined `control polygon ... respect to the quality of the regression models. The focus ... large knot sequence down to a parsimonious collection of elements while maintaining a high quality...
  • longQDA

  • Referenced in 1 article [sw20397]
  • long QDA.Two multivariate mixed model classes with a parsimonious parametrization are proposed: multivariate random effects...
  • CLEMM

  • Referenced in 1 article [sw31323]
  • envelope methodology. Formulated mostly for regression models, envelope methodology aims for simultaneous dimension reduction ... pursuit in classification, we consider parsimonious probabilistic mixture models where the cluster analysis...
  • fabMix

  • Referenced in 2 articles [sw32111]
  • Factor Analyzers with Parsimonious Covariance and Unknown Number of Components. Model-based clustering of multivariate ... clusters is estimated using overfitting mixture models (Rousseau and Mengersen (2011) ): suitable ... move. Eight different parameterizations give rise to parsimonious representations of the covariance per cluster (following ... Murphy (2008) ). The model parameterization and number of factors is selected according...