CRAN/E | TriDimRegression

TriDimRegression

Bayesian Statistics for 2D/3D Transformations

Installation

About

Fits 2D and 3D geometric transformations via 'Stan' probabilistic programming engine ( Stan Development Team (2021) ). Returns posterior distribution for individual parameters of the fitted distribution. Allows for computation of LOO and WAIC information criteria (Vehtari A, Gelman A, Gabry J (2017) doi:10.1007/s11222-016-9696-4) as well as Bayesian R-squared (Gelman A, Goodrich B, Gabry J, and Vehtari A (2018) doi:10.1080/00031305.2018.1549100).

github.com/alexander-pastukhov/tridim-regression
System requirements GNU make
Bug report File report

Key Metrics

Version 1.0.1
R ≥ 3.5.0
Published 2021-10-05 534 days ago
Needs compilation? yes
License GPL-3
CRAN checks TriDimRegression results

Downloads

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Last 365 days 2.905 -28%

Maintainer

Maintainer

Alexander (Sasha) Pastukhov

pastukhov.alexander@gmail.com

Authors

Alexander

(Sasha)

Pastukhov

cre / ctb

Claus-Christian Carbon

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Eye gaze mapping
Comparing faces
Transformation matrices

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

TriDimRegression archive

Depends

R ≥ 3.5.0
loo

Imports

methods
Rcpp ≥ 0.12.0
RcppParallel ≥ 5.0.1
rstan ≥2.18.1
rstantools ≥ 2.1.1
dplyr
future
glue
purrr
tidyr
Formula
bayesplot

Suggests

testthat
knitr
rmarkdown
ggplot2

LinkingTo

BH ≥ 1.66.0
Rcpp ≥ 0.12.0
RcppEigen ≥ 0.3.3.3.0
RcppParallel ≥ 5.0.1
rstan ≥ 2.18.1
StanHeaders ≥2.18.0