Other packages > Find by keyword >

HBSTM  

Hierarchical Bayesian Space-Time Models for Gaussian Space-Time Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HBSTM", "1.0.2")



Attach the package and use:
library("HBSTM")
Maintained by
Alberto Lopez Moreno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-12-24
Latest Update: 2022-05-28
Description:
Fits Hierarchical Bayesian space-Time models for Gaussian data. Furthermore, its functions have been implemented for analysing the fitting qualities of those models.
How to cite:
Alberto Lopez Moreno (2013). HBSTM: Hierarchical Bayesian Space-Time Models for Gaussian Space-Time Data. R package version 1.0.2, https://cran.r-project.org/web/packages/HBSTM. Accessed 05 Aug. 2026.
Previous versions and publish date:
1.0.1 (2014-01-18 19:46), 1.0 (2013-12-24 20:55), (2026-07-09 08:06)
Other packages that cited HBSTM R package
View HBSTM citation profile
Other R packages that HBSTM depends, imports, suggests or enhances
Complete documentation for HBSTM
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
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  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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