dlm: Bayesian and Likelihood Analysis of Dynamic Linear Models

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

Giovanni Petris • Wally Gilks • View description and downloads View dependencies GitHub project

2006 Published

0 Citations

2 Authors

14 Revisions

1.1-6.1 Version

GPL-2 License

Referenced by ⇅	Year
ExGaussEstim: Quantile Maximization Likelihood Estimation and Bayesian Ex-Gaussian Estimation (Version 0.1.2)	2022
CureDepCens: Dependent Censoring Regression Models with Cure Fraction (Version 0.1.0)	2023
DepCens: Dependent Censoring Regression Models (Version 0.2.3)	2022
MfUSampler: Multivariate-from-Univariate (MfU) MCMC Sampler (Version 1.1.0)	2014
NTS: Nonlinear Time Series Analysis (Version 1.1.3)	2018
RGAP: Production Function Output Gap Estimation (Version 0.1.1)	2023
TPMplt: Tool-Kit for Dynamic Materials Model and Thermal Processing Maps (Version 0.1.7)	2018
dlmwwbe: Dynamic Linear Model for Wastewater-Based Epidemiology (Version 0.1.0)	2025
fasster Regressors: (Version )	0
longitudinalANAL: Longitudinal Data Analysis (Version 0.2)	2023
maxLik: Maximum Likelihood Estimation and Related Tools (Version 1.5-2.2)	2008
trendseries: Extract Trends from Time Series (Version 1.4.0)	2025

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.