R Package Scholar
16,993
Referenced by ⇅ Year
dalmatian: Automating the Fitting of Double Linear Mixed Models in "JAGS" and "nimble" (Version 1.0.0)

2018
BayesNSGP: Bayesian Analysis of Non-Stationary Gaussian Process Models (Version 0.1.2)

2019
InvStablePrior: Inverse Stable Prior for Widely-Used Exponential Models (Version 0.1.1)

2022
bcgam: Bayesian Constrained Generalised Linear Models (Version 1.0)

2018
bridgesampling: Bridge Sampling for Marginal Likelihoods and Bayes Factors (Version 1.1-2)

2017
camtrapR: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses (Version 2.3.0)

2015
compareMCMCs: Compare MCMC Efficiency from 'nimble' and/or Other MCMC Engines (Version 0.5.0)

2022
nimbleAPT: Adaptive Parallel Tempering for 'NIMBLE' (Version 1.0.4)

2021
nimbleCarbon: Bayesian Analyses of Radiocarbon Dates with NIMBLE (Version 0.2.5)

2021
nimbleEcology: Distributions for Ecological Models in 'nimble' (Version 0.4.1)

2019
nimbleHMC: Hamiltonian Monte Carlo and Other Gradient-Based MCMC Sampling Algorithms for 'nimble' (Version 0.2.1)

2023
nimbleNoBounds: Transformed Distributions for Improved MCMC Efficiency (Version 1.0.2)

2022
nimbleSCR: Spatial Capture-Recapture (SCR) Methods Using 'nimble' (Version 0.2.1)

2020
nimbleSMC: Sequential Monte Carlo Methods for 'nimble' (Version 0.11.0)

2020
postpack: Utilities for Processing Posterior Samples Stored in 'mcmc.lists' (Version 0.5.4)

2020
runMCMCbtadjust: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters (Version 1.0.5)

2023
saeHB: Small Area Estimation using Hierarchical Bayesian Method (Version 0.2.2)

2021
scPloidy: Infer Ploidy of Single Cells (Version 0.3.0)

2022

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.

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