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928 port(s) found

Page 12 of 47 | Showing port(s) 221 to 240


R-bpgmm

Bayesian model selection approach for parsimonious Gaussian mixture models

Version: 1.0.9 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bpnreg

Bayesian projected normal regression models for circular data

Version: 2.0.3 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bpr

Fitting Bayesian Poisson regression

Version: 1.0.8 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bqtl

Bayesian QTL mapping tool-kit

Version: 1.0-36 | Maintained by: | Categories: science R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-BranchGLM

Efficient and scalable GLM best subset selection

Version: 2.1.5 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-brmsmargins

Bayesian marginal effects for brms models

Version: 0.2.0 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-brnn

Bayesian regularization for feed-forward neural networks

Version: 0.9.3 | Maintained by: barracuda156 | Categories: science R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-BsMD

Bayes screening and model discrimination

Version: 2023.920 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bspline

B-spline interpolation and regression

Version: 2.2 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bssm

Bayesian inference of non-linear and non-Gaussian state space models

Version: 2.0.2 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-BSSprep

Whitening data as Preparation for Blind Source Separation

Version: 0.1 | Maintained by: | Categories: science R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bsvars

Bayesian estimation of structural vector autoregressive models

Version: 2.1.0 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-BTSR

Bounded Time Series Regression

Version: 0.1.5 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-BTtest

Estimate the number of factors in large non-stationary datasets

Version: 0.10.1 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bvarsv

Bayesian analysis of a vector autoregressive model with stochastic volatility and time-varying parameters

Version: 1.1 | Maintained by: | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bvartools

Bayesian inference of vector autoregressive and error correction models

Version: 0.2.4 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bvhar

Bayesian Vector Heterogeneous Autoregressive Modelling

Version: 2.0.1 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bvls

Stark–Parker algorithm for bounded-variable least squares

Version: 1.4 | Maintained by: | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-bvpSolve

Solvers for boundary value problems of differential equations

Version: 1.4.4.1 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

R-BVSNLP

Bayesian variable selection in high-dimensional settings using non-local priors

Version: 1.1.9 | Maintained by: | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran

928 port(s) found

Page 12 of 47 | Showing port(s) 221 to 240