Other packages > Find by keyword >

BKTR  

Bayesian Kernelized Tensor Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BKTR", "0.2.0")



Attach the package and use:
library("BKTR")
Maintained by
Julien Lanthier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-20
Latest Update: 2023-10-20
Description:
Facilitates scalable spatiotemporally varying coefficient modelling with Bayesian kernelized tensor regression. The important features of this package are: (a) Enabling local temporal and spatial modeling of the relationship between the response variable and covariates. (b) Implementing the model described by Lei et al. (2023) . (c) Using a Bayesian Markov Chain Monte Carlo (MCMC) algorithm to sample from the posterior distribution of the model parameters. (d) Employing a tensor decomposition to reduce the number of estimated parameters. (e) Accelerating tensor operations and enabling graphics processing unit (GPU) acceleration with the 'torch' package.
How to cite:
Julien Lanthier (2023). BKTR: Bayesian Kernelized Tensor Regression. R package version 0.2.0, https://cran.r-project.org/web/packages/BKTR. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.1 (2023-10-20 13:50)
Other packages that cited BKTR R package
View BKTR citation profile
Other R packages that BKTR depends, imports, suggests or enhances
Complete documentation for BKTR
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
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  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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