• ggdmc

  • Referenced in 2 articles [sw30004]
  • time models, using the population-based Markov Chain Monte Carlo...
  • BAPS 2

  • Referenced in 7 articles [sw35649]
  • genetic population structure. We have previously developed a Markov chain Monte Carlo (MCMC) algorithm...
  • GEMMA

  • Referenced in 5 articles [sw23999]
  • with multiple phenotypes simultaneously while controlling for population stratification, and for estimating genetic correlations among ... linear mixed model (BSLMM) using Markov chain Monte Carlo (MCMC) for estimating PVE by typed ... jointly modeling all markers while controlling for population structure. It estimates variance component/chip heritability...
  • phylodyn

  • Referenced in 3 articles [sw19813]
  • effective population size fluctuations over time. Our implementation includes several Markov chain Monte Carlo-based ... ancestral relationships of individuals sampled from a population of interest. Here, individuals are assumed ... effective population size trajectory. We assume the coalescent and the sequentially Markov coalescent processes...
  • PSMIX

  • Referenced in 5 articles [sw13670]
  • studies. Bayesian methods have been proposed for population stratification and admixture inference using multilocus genotypes ... into convergence problem in Markov Chain Monte Carlo based posterior samplings. Results: We have developed ... using expectation-maximization algorithm, for inference of population stratification and individual admixture. Conclusion: Compared with...
  • FRANz

  • Referenced in 9 articles [sw35294]
  • software package for pedigree reconstruction in natural populations using co-dominant genomic markers such ... Statistical confidence is estimated by Markov Chain Monte Carlo (MCMC) sampling. The accuracy...
  • PAIsing

  • Referenced in 1 article [sw28327]
  • annealing algorithm. Population annealing is a promising recent approach for Monte Carlo simulations in statistical ... through Markov chains with elements of sequential Monte Carlo in the form of population control...
  • CosmoPMC

  • Referenced in 1 article [sw24738]
  • adaptive importance sampling method called Population Monte Carlo (PMC). Various cosmology likelihood modules are implemented ... programs, and in addition a Monte-Carlo Markov chain (MCMC) algorithm. The sampling engine...
  • BayClone2

  • Referenced in 1 article [sw31387]
  • subclonal variant alleles ((oldsymbol{Z})), and the population frequencies of the subclones ((oldsymbol ... multiple tumor samples. Computation via Markov chain Monte Carlo yields posterior Monte Carlo samples...
  • PKBUGS

  • Referenced in 1 article [sw21102]
  • user-friendly interface for specifying complex population pharmacokinetic/pharmacodynamic (PK/PD) models within the widely-used WinBUGS ... used to analyse, using Markov chain Monte Carlo (MCMC) techniques, arbitrarily complex Bayesian full probability ... this method is unlikely to be optimal. Population PK/PD is such a class. Indeed, although...
  • BaySICS

  • Referenced in 1 article [sw32670]
  • sequence data. It estimates historical demographic population parameters and performs hypothesis testing by means ... interface and the implementation of Markov-chain Monte Carlo without likelihoods...
  • deBInfer

  • Referenced in 3 articles [sw14911]
  • their prior distributions. A Markov chain Monte Carlo (MCMC) procedure processes these inputs to estimate ... ordinary and delay DE models for population ecology...
  • ctime

  • Referenced in 1 article [sw28190]
  • Continuous-time capture-recapture in closed populations. The standard approach to fitting capture-recapture data ... factored so that efficient Markov chain Monte Carlo algorithms can be implemented for Bayesian estimation...
  • GerryChain

  • Referenced in 1 article [sw35963]
  • ensembles of districting plans using Markov chain Monte Carlo. It is developed and maintained ... according to traditional districting principles, such as population balance or compactness. Comparing the initial plan...
  • T-BAPS

  • Referenced in 1 article [sw00951]
  • enable the characterization of the microbial population. However, such data have so far been primarily ... model we use a recent Markov chain Monte Carlo (MCMC) -based method for the Bayesian...
  • ATLAS

  • Referenced in 199 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • GAP

  • Referenced in 3164 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • LAPACK

  • Referenced in 1701 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Macaulay2

  • Referenced in 1921 articles [sw00537]
  • Macaulay2 is a software system devoted to supporting...