mrbayes 3.2.7a-7build1 source package in Ubuntu

Changelog

mrbayes (3.2.7a-7build1) noble; urgency=medium

  * No-change rebuild for readline time64 change.

 -- Matthias Klose <email address hidden>  Thu, 14 Mar 2024 02:58:35 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Noble
Original maintainer:
Debian Med
Architectures:
any all
Section:
math
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
mrbayes_3.2.7a.orig.tar.gz 9.4 MiB 3eed2e3b1d9e46f265b6067a502a89732b6f430585d258b886e008e846ecc5c6
mrbayes_3.2.7a-7build1.debian.tar.xz 7.3 KiB eba2ae57776ce008b684e019f32e44409562b50109b5101baf663882dd969977
mrbayes_3.2.7a-7build1.dsc 2.1 KiB 73dc1c380a65d6942b95a6538539c98fa99ec341efc91dc52ba26d15d6e3d2ee

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Binary packages built by this source

mrbayes: Bayesian Inference of Phylogeny

 Bayesian inference of phylogeny is based upon a quantity called the posterior
 probability distribution of trees, which is the probability of a tree
 conditioned on the observations. The conditioning is accomplished using
 Bayes's theorem. The posterior probability distribution of trees is
 impossible to calculate analytically; instead, MrBayes uses a simulation
 technique called Markov chain Monte Carlo (or MCMC) to approximate the
 posterior probabilities of trees.

mrbayes-dbgsym: debug symbols for mrbayes
mrbayes-doc: Bayesian Inference of Phylogeny - manual

 Bayesian inference of phylogeny is based upon a quantity called the posterior
 probability distribution of trees, which is the probability of a tree
 conditioned on the observations. The conditioning is accomplished using
 Bayes's theorem. The posterior probability distribution of trees is
 impossible to calculate analytically; instead, MrBayes uses a simulation
 technique called Markov chain Monte Carlo (or MCMC) to approximate the
 posterior probabilities of trees.
 .
 This package provides the manual for MrBayes.

mrbayes-mpi: Bayesian Inference of Phylogeny - mpi version

 Bayesian inference of phylogeny is based upon a quantity called the posterior
 probability distribution of trees, which is the probability of a tree
 conditioned on the observations. The conditioning is accomplished using
 Bayes's theorem. The posterior probability distribution of trees is
 impossible to calculate analytically; instead, MrBayes uses a simulation
 technique called Markov chain Monte Carlo (or MCMC) to approximate the
 posterior probabilities of trees.
 .
 This package offers a binary compiled for parallel computation with MPI.

mrbayes-mpi-dbgsym: debug symbols for mrbayes-mpi