LaplacesDemon: Complete Environment for Bayesian Inference

Canonical link: https://rscholar.com/pkg/LaplacesDemon

Byron Hall • Martina Hall • Statisticat • LLC • Eric Brown • Richard Hermanson • Emmanuel Charpentier • Daniel Heck • Stephane Laurent • Quentin F. Gronau • Henrik Singmann • View description and downloads View dependencies GitHub project

2011 Published

16.1.6 Version

0 Citations

11 Authors

Referenced by ⇅	Year
ProFound: Photometry Tools (Version 1.14.1)	2017
rcage: Regionalization of Multiscale Spatial Processes (Version 1.2)	2021
BayesMassBal: Bayesian Data Reconciliation of Separation Processes (Version 1.1.0)	2020
ARpLMEC: Censored Mixed-Effects Models with Different Correlation Structures (Version 2.4.1)	2019
BCClong: Bayesian Consensus Clustering for Multiple Longitudinal Features (Version 1.0.3)	2023
BayesESS: Determining Effective Sample Size (Version 0.1.19)	2018
BayesGP: Efficient Implementation of Gaussian Process in Bayesian Hierarchical Models (Version 0.1.3)	0
Bayesrel: Bayesian Reliability Estimation (Version 0.7.7)	2019
CHEMIST: Causal Inference with High-Dimensional Error-Prone Covariates and Misclassified Treatments (Version 0.1.5)	2023
DIFM: Dynamic ICAR Spatiotemporal Factor Models (Version 1.0)	2024
EpiILM: Spatial and Network Based Individual Level Models for Epidemics (Version 1.5.2)	2017
FourWayHMM: Parsimonious Hidden Markov Models for Four-Way Data (Version 1.0.0)	2021
MLEce: Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions (Version 2.1.0)	2022
MatrixHMM: Parsimonious Families of Hidden Markov Models for Matrix-Variate Longitudinal Data (Version 1.0.0)	2024
OBASpatial: Objective Bayesian Analysis for Spatial Regression Models (Version 1.9)	2020
OLCPM: Online Change Point Detection for Matrix-Valued Time Series (Version 0.1.2)	2023
PROBShiny: Interactive Document for Working with Basic Probability (Version 0.1.0)	2019
RGMM: Robust Mixture Model (Version 2.1.0)	2022
SMARTbayesR: Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs for Binary Outcomes (Version 2.0.0)	2020
SpaCOAP: High-Dimensional Spatial Covariate-Augmented Overdispersed Poisson Factor Model (Version 1.2)	2024
TLIC: The LIC for T Distribution Regression Analysis (Version 0.3)	2024
bdlim: Bayesian Distributed Lag Interaction Models (Version 0.4.2)	2024
bgsmtr: Bayesian Group Sparse Multi-Task Regression (Version 0.7)	2016
bmscstan: Bayesian Multilevel Single Case Models using 'Stan' (Version 1.2.1.0)	2020
dlbayes: Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection (Version 0.1.0)	2018
eDITH: Model Transport of Environmental DNA in River Networks (Version 1.0.0)	2023
evidence: Analysis of Scientific Evidence Using Bayesian and Likelihood Methods (Version 0.8.10)	2018
exdqlm: Extended Dynamic Quantile Linear Models (Version 0.1.3)	2021
extraDistr: Additional Univariate and Multivariate Distributions (Version 1.10.0)	2016
ezECM: Event Categorization Matrix Classification for Nuclear Detonations (Version 1.0.0)	2024
fido: Bayesian Multinomial Logistic Normal Regression (Version 1.1.1)	2022
ftsa: Functional Time Series Analysis (Version 6.4)	2009
hdpGLM: Hierarchical Dirichlet Process Generalized Linear Models (Version 1.0.3)	2020
hyper.fit: N-Dimensional Hyperplane Fitting with Errors (Version 1.2.1)	2016
ivaBSS: Tools for Independent Vector Analysis (Version 1.0.0)	2022
kindisperse: Simulate and Estimate Close-Kin Dispersal Kernels (Version 0.10.2)	2021
lddmm: Longitudinal Drift-Diffusion Mixed Models (LDDMM) (Version 0.4.2)	2021
matrixNormal: The Matrix Normal Distribution (Version 0.1.1)	2018
metaBMA: Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis (Version 0.6.9)	2017
mvnimpute: Simultaneously Impute the Missing and Censored Values (Version 1.0.1)	2022
networkscaleup: Network Scale-Up Models for Aggregated Relational Data (Version 0.1-2)	2022
skipTrack: A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile Menstrual Cycle Tracking (Version 0.1.0)	2024
sklarsomega: Measuring Agreement Using Sklar's Omega Coefficient (Version 3.0-2)	2018
tip: Bayesian Clustering Using the Table Invitation Prior (TIP) (Version 0.1.0)	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.