• BITE

  • Referenced in 7 articles [sw13222]
  • expectations with respect to the posterior. Output consists of (i) parameter values stored during simulations...
  • MSAProbs

  • Referenced in 3 articles [sw12007]
  • calculate posterior probabilities. Furthermore, two critical bioinformatics techniques, namely weighted probabilistic consistency transformation and weighted...
  • PicXAA-R

  • Referenced in 1 article [sw17122]
  • probabilistic consistency transformations to improve the posterior base-pairing and base alignment probabilities using ... structural alignment of multiple RNAs and it consistently yields accurate alignment results, especially for datasets...
  • convexity

  • Referenced in 1 article [sw36571]
  • develop an asymptotically consistent Bayesian sequential sampling procedure that estimates the posterior probability of this...
  • BayesMallows

  • Referenced in 1 article [sw26332]
  • well as consistent pairwise preferences. Several functions for plotting and studying the posterior distributions...
  • BaySTDetect

  • Referenced in 4 articles [sw20750]
  • each area. For each area, the posterior probability of belonging to the common trend model ... comprehensive simulation study has demonstrated the consistent good performance of BaySTDetect in detecting various realistic...
  • emulator

  • Referenced in 2 articles [sw25521]
  • training set” of runs, each consisting of a point in parameter space and the model ... this class. The emulator essentially determines Bayesian posterior estimates of the PDF of the output...
  • RSS

  • Referenced in 2 articles [sw23316]
  • likelihood with previously proposed prior distributions, sampling posteriors by Markov chain Monte Carlo ... practically impossible. Estimates of heritability (52%) are consistent with, but more precise, than previous results...
  • SoilGrids250m

  • Referenced in 2 articles [sw27798]
  • incorporate input uncertainties and derivation of posterior probability distributions (per pixel), and further automation ... that increasingly more accurate, complete and consistent global soil information can be produced. SoilGrids...
  • NEVA

  • Referenced in 1 article [sw33948]
  • optimization over the parameter space. NEVA includes posterior probability intervals (uncertainty bounds) of estimated return ... package for a case study consisting of annual temperature maxima for a gridded global temperature...
  • BayClone2

  • Referenced in 1 article [sw31387]
  • collection of the entire tumor cell population consists of different subclones that can be characterized ... mutations at a selected set of loci. Posterior summaries are presented in three matrices, namely...
  • BClass

  • Referenced in 1 article [sw26091]
  • algorithms, we constructed a sampler to approximate posterior moments and grouping probabilities. Since this method ... bacterium Escherichia coli. The classification obtained is consistent with current knowledge and allowed prediction...
  • BayCount

  • Referenced in 1 article [sw26925]
  • Tumors are heterogeneous. A tumor sample usually consists of a set of subclones with distinct ... reads mapped to each gene. For the posterior inference, we develop an efficient compound Poisson...
  • ESTIMA

  • Referenced in 15 articles [sw00249]
  • System identification is an iterative model building process...
  • LAPACK

  • Referenced in 1626 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Mathematica

  • Referenced in 5883 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12074 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • mclust

  • Referenced in 257 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...
  • NAG

  • Referenced in 417 articles [sw00610]
  • Produced by experts for use in a variety...
  • R

  • Referenced in 8359 articles [sw00771]
  • R is a language and environment for statistical...