Package: BayesForge 0.0.1

Sebastian Sosa

BayesForge: Bayesian Inference using 'numpyro' and 'XLA'

A high-performance probabilistic programming library that aims to unify the modeling experience by providing an intuitive model-building syntax together with the flexibility of low-level abstraction coding. It also includes pre-built functions for high-level abstraction and supports hardware-accelerated computation for improved scalability, including parallelization, vectorization, and execution on CPU (Central Processing Unit), GPU (Graphics Processing Unit), or TPU (Tensor Processing Unit) using 'JAX' (Just-In-Time compiled Accelerated linear algebra) as the computational backend: Sosa (2026) <doi:10.64898/2026.01.19.700318>.

Authors:Sebastian Sosa [aut, cre]

BayesForge_0.0.1.tar.gz
BayesForge_0.0.1.tar.gz(r-4.7-any)BayesForge_0.0.1.tar.gz(r-4.6-any)
BayesForge_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesForge/json (API)

# Install 'BayesForge' in R:
install.packages('BayesForge', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 89 exports 13 dependencies

Last updated from:6edada3f25. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK218
source / vignettesOK222
linux-release-x86_64OK172
wasm-releaseOK144

Exports:ask_yes_noBF_loadBF_starting_testbf.dist.asymmetric_laplacebf.dist.asymmetric_laplace_quantilebf.dist.bernoullibf.dist.betabf.dist.beta_binomialbf.dist.beta_proportionbf.dist.bfnomialbf.dist.carbf.dist.categoricalbf.dist.cauchybf.dist.chi2bf.dist.deltabf.dist.dirichletbf.dist.dirichlet_multinomialbf.dist.discrete_uniformbf.dist.euler_maruyamabf.dist.exponentialbf.dist.gammabf.dist.gamma_poissonbf.dist.gaussian_copulabf.dist.gaussian_copula_betabf.dist.gaussian_random_walkbf.dist.gaussian_state_spacebf.dist.geometricbf.dist.gompertzbf.dist.gumbelbf.dist.half_cauchybf.dist.half_normalbf.dist.inverse_gammabf.dist.kumaraswamybf.dist.laplacebf.dist.left_truncated_distributionbf.dist.levybf.dist.lkjbf.dist.lkj_choleskybf.dist.log_normalbf.dist.log_uniformbf.dist.logisticbf.dist.low_rank_multivariate_normalbf.dist.lower_truncated_power_lawbf.dist.matrix_normalbf.dist.mixturebf.dist.mixture_generalbf.dist.mixture_same_familybf.dist.multinomialbf.dist.multinomial_logitsbf.dist.multinomial_probsbf.dist.multivariate_normalbf.dist.multivariate_student_tbf.dist.negative_binomial_logitsbf.dist.negative_binomial_probsbf.dist.negative_binomial2bf.dist.normalbf.dist.ordered_logisticbf.dist.paretobf.dist.poissonbf.dist.projected_normalbf.dist.relaxed_bernoullibf.dist.relaxed_bernoulli_logitsbf.dist.right_truncated_distributionbf.dist.soft_laplacebf.dist.student_tbf.dist.truncated_cauchybf.dist.truncated_distributionbf.dist.truncated_normalbf.dist.truncated_polya_gammabf.dist.two_sided_truncated_distributionbf.dist.uniformbf.dist.weibullbf.dist.wishartbf.dist.wishart_choleskybf.dist.zero_inflated_distributionbf.dist.zero_inflated_negative_binomialbf.dist.zero_inflated_poissonbf.dist.zero_sum_normalbf.doccheck_envconvert_posteriorimportBFinstall_dependencieslist_packagesonLoadremove_env_namesetup_envto_brmsupdate_BF

Dependencies:abindherejsonlitelatticeMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr

Readme and manuals

Help Manual

Help pageTopics
Asymmetric Laplace distributionbf.dist.asymmetric_laplace
Asymmetric Laplace Quantile Distributionbf.dist.asymmetric_laplace_quantile
Sample from a Bernoulli distribution.bf.dist.bernoulli
Beta Distributionbf.dist.beta
BetaBinomialbf.dist.beta_binomial
Samples from a Beta-Proportion distribution.bf.dist.beta_proportion
Samples from a Binomial distribution.bf.dist.bfnomial
Conditional Autoregressive (CAR) Distributionbf.dist.car
Sample from a Categorical distribution.bf.dist.categorical
Cauchy Distributionbf.dist.cauchy
Samples from a Chi-squared distribution.bf.dist.chi2
The Delta distribution.bf.dist.delta
Samples from a Dirichlet distribution.bf.dist.dirichlet
Samples from a Dirichlet Multinomial distribution.bf.dist.dirichlet_multinomial
Samples from a Discrete Uniform distribution.bf.dist.discrete_uniform
Euler-Maruyama methodbf.dist.euler_maruyama
Samples from an Exponential distribution.bf.dist.exponential
Gamma Distributionbf.dist.gamma
Gamma-Poisson Distributionbf.dist.gamma_poisson
Gaussian Copula Distributionbf.dist.gaussian_copula
Gaussian Copula Beta distribution.bf.dist.gaussian_copula_beta
Samples from a Gaussian Random Walk distribution.bf.dist.gaussian_random_walk
Gaussian State Space Distributionbf.dist.gaussian_state_space
Samples from a Geometric distribution.bf.dist.geometric
Gompertz Distributionbf.dist.gompertz
Samples from a Gumbel (or Extreme Value) distribution.bf.dist.gumbel
HalfCauchy Distributionbf.dist.half_cauchy
Samples from a HalfNormal distribution.bf.dist.half_normal
InverseGamma Distributionbf.dist.inverse_gamma
Kumaraswamy Distributionbf.dist.kumaraswamy
Laplace Distributionbf.dist.laplace
Samples from a left-truncated distribution.bf.dist.left_truncated_distribution
Levy distributionbf.dist.levy
Samples from an LKJ (Lewandowski, Kurowicka, Joe) distribution for correlation matrices.bf.dist.lkj
LKJ Cholesky Distributionbf.dist.lkj_cholesky
Log Normal distributionbf.dist.log_normal
Samples from a Log Uniform distribution.bf.dist.log_uniform
Samples from a Logistic distribution.bf.dist.logistic
Low Rank Multivariate Normal Distributionbf.dist.low_rank_multivariate_normal
Lower Truncated Power Law Distributionbf.dist.lower_truncated_power_law
Matrix Normal Distributionbf.dist.matrix_normal
A marginalized finite mixture of component distributions.bf.dist.mixture
A finite mixture of component distributions from different families.bf.dist.mixture_general
A finite mixture of component distributions from the same family.bf.dist.mixture_same_family
Multinomial distribution.bf.dist.multinomial
Multinomial logitbf.dist.multinomial_logits
Samples from a Multinomial distribution.bf.dist.multinomial_probs
Samples from a Multivariate Normal distribution.bf.dist.multivariate_normal
Multivariate Student's t Distributionbf.dist.multivariate_student_t
Samples from a Negative Binomial Logits distribution.bf.dist.negative_binomial_logits
Sample from a Negative Binomial distribution with probabilities.bf.dist.negative_binomial_probs
Samples from a Negative Binomial distribution.bf.dist.negative_binomial2
Samples from a Normal (Gaussian) distribution.bf.dist.normal
Ordered Logistic Distributionbf.dist.ordered_logistic
Samples from a Pareto distribution.bf.dist.pareto
Poisson Distributionbf.dist.poisson
Samples from a Projected Normal distribution.bf.dist.projected_normal
Samples from a Relaxed Bernoulli distribution.bf.dist.relaxed_bernoulli
Relaxed Bernoulli Logits Distribution.bf.dist.relaxed_bernoulli_logits
Samples from a right-truncated distribution.bf.dist.right_truncated_distribution
Samples from a Soft Laplace distribution.bf.dist.soft_laplace
Student's t-distribution.bf.dist.student_t
Truncated Cauchy Distributionbf.dist.truncated_cauchy
Truncated Distributionbf.dist.truncated_distribution
Truncated Normal Distributionbf.dist.truncated_normal
Truncated PolyaGamma Distributionbf.dist.truncated_polya_gamma
Two-Sided Truncated Distributionbf.dist.two_sided_truncated_distribution
Uniform Distributionbf.dist.uniform
Samples from a Weibull distribution.bf.dist.weibull
Wishart distribution for covariance matrices.bf.dist.wishart
Wishart Cholesky Distributionbf.dist.wishart_cholesky
Generic Zero Inflated distribution.bf.dist.zero_inflated_distribution
Zero-Inflated Negative Binomial Distributionbf.dist.zero_inflated_negative_binomial
A Zero Inflated Poisson distribution.bf.dist.zero_inflated_poisson
zero_sum_normalbf.dist.zero_sum_normal
title Open the BI Documentation Websitebf.doc
Import the BI Python ModuleimportBF
Create a Python virtual environmentsetup_env
Convert BI fit to brmsfitto_brms