• HMMTree

  • Referenced in 8 articles [sw08991]
  • multinomial processing tree models. Latent-class hierarchical multinomial models are an important extension ... homogeneity assumption and provide a framework for modeling parameter heterogeneity. In this article, the computer ... means of implementing latent-class hierarchical multinomial processing tree models. HMMTree computes parameter estimates, confidence...
  • HBC

  • Referenced in 5 articles [sw24836]
  • toolkit for implementing hierarchical Bayesian models. HBC was created because I felt like I spend ... Allow a natural implementation of hierarchal models. Enable quick and dirty debugging of models ... message passing). Allow for hierarchical models to be easily embedded in larger programs. Automatic ... goal of HBC is to compile hierarchical models into standard programming languages (like C), these...
  • dhglm

  • Referenced in 7 articles [sw21272]
  • package dhglm: Double Hierarchical Generalized Linear Models. Double hierarchical generalized linear models in which...
  • HDDM

  • Referenced in 11 articles [sw16420]
  • HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python. The diffusion model ... been made available to quantitatively fit the model to data, current estimation methods require ... Python-based toolbox called HDDM (hierarchical drift diffusion model), which allows fast and flexible estimation ... ballistic accumulator model. HDDM requires fewer data per subject/condition than non-hierarchical methods, allows...
  • EBSeq

  • Referenced in 8 articles [sw17161]
  • EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments. Motivation: Messenger...
  • sirt

  • Referenced in 6 articles [sw15945]
  • noncompensatory IRT models, MCMC for hierarchical IRT models and testlet models, NOHARM, Rasch copula model ... faceted and hierarchical rater models, ordinal IRT model (ISOP), DETECT statistic, local structural equation modeling...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • with the mechanism behind the hierarchical Bayesian topic models (e.g., LDA) under a unified constrained...
  • 3DmhpqAP

  • Referenced in 4 articles [sw08740]
  • adaptive finite element methods assigned for the modeling and analysis of elastic structures of complex ... investigated the issue of hierarchical models and approximations of such structures. We applied ... based mechanical models, hierarchical modeling, and hierarchical approximations within the proposed finite element formulation. Furthermore...
  • hglm

  • Referenced in 7 articles [sw15428]
  • package hglm: Hierarchical Generalized Linear Models. Procedures for fitting hierarchical generalized linear models (HGLM...
  • BITE

  • Referenced in 7 articles [sw13222]
  • event history data using flexible hierarchical models and Bayesian inference, with a particular emphasis...
  • ABF++

  • Referenced in 27 articles [sw14153]
  • angle based flattening. Conformal parameterization of mesh models has numerous applications in geometry processing. Conformality ... reconstruction scheme; and (3) an efficient hierarchical solution technique. The speedup with (1) does ... greater distortion. The hierarchical technique (3) enables parameterization of models with millions of faces...
  • MultiBUGS

  • Referenced in 6 articles [sw31621]
  • MultiBUGS: A parallel implementation of the BUGS modelling framework for faster Bayesian inference. MultiBUGS implements ... algorithms for posterior inference of Bayesian hierarchical models. It builds on the existing algorithms...
  • iBAG

  • Referenced in 6 articles [sw32134]
  • data obtained from different platforms. Statistical Model: We propose an integrative Bayesian analysis of genomics ... with clinical outcome. This framework uses hierarchical modeling to combine the data obtained from multiple...
  • Rgbp

  • Referenced in 4 articles [sw18040]
  • package Rgbp: Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data ... machinery to fit two-level conjugate hierarchical models on overdispersed Gaussian, Poisson, and Binomial data...
  • LearnBayes

  • Referenced in 4 articles [sw04495]
  • also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling...
  • clustvarsel

  • Referenced in 21 articles [sw07967]
  • function which implements variable selection methodology for model-based clustering which allows to find ... sampling at the hierarchical clustering stage for starting Mclust models. By default the algorithm uses...
  • gRbase

  • Referenced in 15 articles [sw10198]
  • datasets used in the book Graphical Models with R (2012) are contained in gRbase. gRbase ... conditional independence. gRbase illustrates how hierarchical log-linear models (hllm) may be implemented and describes...
  • glmmBUGS

  • Referenced in 7 articles [sw13217]
  • BRugs, or OpenBUGS. Write bugs model files for hierarchical and spatial models, arranges unbalanced data...
  • LMNtal

  • Referenced in 9 articles [sw07312]
  • elemental”) is a simple language model based on hierarchical graph rewriting that uses logical variables ... substrate language of various computational models, especially those addressing concurrency, mobility and multiset rewriting. Although ... LMNtal was to provide a unifying computational model, it is of interest to equip ... This enables us to call LMNtal a hierarchical, concurrent linear logic language...