• blockmodels

  • Referenced in 7 articles [sw29261]
  • package blockmodels: Latent and Stochastic Block Model Estimation by a ’V-EM’ Algorithm. Latent ... Stochastic Block Model estimation by a Variational EM algorithm. Various probability distribution are provided (Bernoulli...
  • missSBM

  • Referenced in 3 articles [sw29258]
  • package missSBM: Handling Missing Data in Stochastic Block Models. When a network is partially observed ... those NAs. ’missSBM’ adjusts the popular stochastic block model from network data sampled under various...
  • PyGSP

  • Referenced in 4 articles [sw22598]
  • models for generating random graphs like stochastic block models, sensor networks, Erdős–Rényi model, Barabási...
  • greed

  • Referenced in 2 articles [sw41875]
  • Several models are available such as: Stochastic Block Model, degree corrected Stochastic Block Model, Mixtures...
  • dyngraph2vec

  • Referenced in 3 articles [sw40462]
  • predict unseen links with higher precision. Our model, dyngraph2vec, learns the temporal transitions ... data set created using stochastic block models. We then demonstrate the efficacy of dyngraph2vec over...
  • SBMSplitMerge

  • Referenced in 1 article [sw38495]
  • Bayesian framework for a generalised stochastic block model. The generalised stochastic block model...
  • MultilayerExtraction

  • Referenced in 2 articles [sw34885]
  • comparison with a fixed degree random graph model. Multilayer Extraction directly handles networks with heterogeneous ... proposed multilayer score under the multilayer stochastic block model. We investigate the performance of Multilayer...
  • Wmixnet

  • Referenced in 1 article [sw41963]
  • Binary and Valued Graphs using the Stochastic Block Model. Clustering the nodes of a graph ... topology of a network. The stochastic block model is a clustering method based...
  • GMPro

  • Referenced in 1 article [sw41541]
  • include Erdos-Renyi random graphs and stochastic block models(SBM). More details...
  • gsbm

  • Referenced in 1 article [sw40510]
  • adjacency matrix drawn from a Generalized Stochastic Block Model with missing observations, this package robustly...
  • GERBIL

  • Referenced in 4 articles [sw17194]
  • GERBIL: Genotype resolution and block identification using likelihood. The abundance of genotype data generated ... based on a stochastic model for recombination-poor regions (”blocks”), in which haplotypes are generated...
  • DSCOVR

  • Referenced in 6 articles [sw28397]
  • propose a family of randomized primal-dual block coordinate algorithms that are especially suitable ... simultaneous data and model partitioning, and exploit its structure by doubly stochastic coordinate optimization with...
  • Venture

  • Referenced in 10 articles [sw14670]
  • free” stochastic simulators. It also supports external models that do inference over latent variables hidden ... stochastic regeneration algorithms for efficiently modifying PET fragments contained within scaffolds. Stochastic regeneration linear runtime ... scaled quadratically. We show how to use stochastic regeneration and the SPI to implement general ... such as Metropolis-Hastings, Gibbs sampling, and blocked proposals based on particle Markov chain Monte...
  • MvBinary

  • Referenced in 1 article [sw15146]
  • Model selection consists in the estimation of the repartition of the variables into blocks ... stochastic (more time consuming but optimal) algorithm. Tool functions facilitate the model interpretation...
  • dynamo

  • Referenced in 1 article [sw32326]
  • package dynamo: Fit a Stochastic Dynamical Array Model to Array Data. An implementation ... fitting 3-dimensional dynamical array models. The implementation is based on the glamlasso package ... generalized linear array model. The implementation uses a block relaxation scheme to fit each individual...
  • SimBiology

  • Referenced in 2 articles [sw21896]
  • provides a block diagram editor for building models, or you can create models programmatically using ... models, which you can customize and integrate with mechanistic systems biology models. A variety ... model exploration techniques let you identify optimal dosing schedules and putative drug targets in cellular ... SimBiology uses ordinary differential equations (ODEs) and stochastic solvers to simulate the time course profile...
  • AMD

  • Referenced in 60 articles [sw00039]
  • Algorithm 837: AMD is a set of routines...
  • ANSYS

  • Referenced in 704 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ARMS

  • Referenced in 65 articles [sw00048]
  • ARMS: an algebraic recursive multilevel solver for general...
  • BARON

  • Referenced in 354 articles [sw00066]
  • BARON is a computational system for solving nonconvex...