Other packages > Find by keyword >

baorista  

Bayesian Aoristic Analyses
View on CRAN: Click here


Download and install baorista package within the R console
Install from CRAN:
install.packages("baorista")

Install from Github:
library("remotes")
install_github("cran/baorista")

Install by package version:
library("remotes")
install_version("baorista", "0.2.1")



Attach the package and use:
library("baorista")
Maintained by
Enrico Crema
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-22
Latest Update: 2024-08-19
Description:
Provides an alternative approach to aoristic analyses for archaeological datasets by fitting Bayesian parametric growth models and non-parametric random-walk Intrinsic Conditional Autoregressive (ICAR) models on time frequency data (Crema (2024)<doi:10.1111/arcm.12984>). It handles event typo-chronology based timespans defined by start/end date as well as more complex user-provided vector of probabilities.
How to cite:
Enrico Crema (2024). baorista: Bayesian Aoristic Analyses. R package version 0.2.1, https://cran.r-project.org/web/packages/baorista. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.2 (2024-05-22 00:10), 0.1.3 (2024-05-24 00:00), 0.1.4 (2024-06-12 23:00), 0.2.0 (2024-07-30 16:20)
Other packages that cited baorista R package
View baorista citation profile
Other R packages that baorista depends, imports, suggests or enhances
Complete documentation for baorista
Functions, R codes and Examples using the baorista R package
Full baorista package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA