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[package]
name = "rmcmc"
version = "0.1.0"
authors = ["Mike Schmidt <schmidmt@gmail.com>"]
description = "RMCMC is a Bayesian statistics toolkit with implements, among other algorithms, Markov-Chain-Monte-Carlo."
keywords = ["Probability", "Statistics", "Bayesian", "Machine-learning", "MCMC"]
categories = ["science"]
license = "MIT"
repository = "https://github.com/schmidmt/rmcmc"
[dependencies.nalgebra]
version = "0.16.0"

[dependencies.num]
version = "0.2.0"

[dependencies.rand]
version = "0.5.3"

[dependencies.rv]
version = "^0.4"

[dependencies.serde]
version = "1.0.70"
optional = true

[dependencies.serde_derive]
version = "1.0.70"
optional = true

[dependencies.special]
version = "0.7.8"
[dev-dependencies.assert]
version = "0.7.4"

[features]
serde_support = ["serde", "serde_derive", "nalgebra/serde-serialize"]
[badges.maintenance]
status = "actively-developed"

[badges.travis-ci]
branch = "master"
repository = "schmidmt/rmcmc"