# Bayesian Statistics for 2D/3D Transformations

## Documentation for package ‘TriDimRegression’ version 1.0.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

TriDimRegression-package | The 'TriDimRegression' package.
CarbonExample1Data | Carbon, C. C. (2013), data set #1
CarbonExample2Data | Carbon, C. C. (2013), data set #2
CarbonExample3Data | Carbon, C. C. (2013), data set #3
coef.tridim_transformation | Posterior distributions for transformation coefficients in full or summarized form.
EyegazeData | Eye gaze calibration data
Face3D_M010 | Face landmarks, male, #010
Face3D_M101 | Face landmarks, male, #101
Face3D_M244 | Face landmarks, male, #244
Face3D_M92 | Face landmarks, male, #092
Face3D_W070 | Face landmarks, female, #070
Face3D_W097 | Face landmarks, female, #097
Face3D_W182 | Face landmarks, female, #182
Face3D_W243 | Face landmarks, female, #243
fit_transformation | Fitting Bidimensional or Tridimensional Regression / Geometric Transformation Models via Formula.
fit_transformation.formula | Fitting Bidimensional or Tridimensional Regression / Geometric Transformation Models via Formula.
fit_transformation_df | Fitting Bidimensional or Tridimensional Regression / Geometric Transformation Models via Two Tables.
FriedmanKohlerData1 | Friedman & Kohler (2003), data set #1
FriedmanKohlerData2 | Friedman & Kohler (2003), data set #2
is.tridim_transformation | Checks if argument is a 'tridim_transformation' object
loo.tridim_transformation | Computes an efficient approximate leave-one-out cross-validation via loo library. It can be used for a model comparison via loo::loo_compare() function.
NakayaData | Nakaya (1997)
plot.tridim_transformation | Posterior interval plots for key parameters. Uses bayesplot::mcmc_intervals.
predict.tridim_transformation | Computes posterior samples for the posterior predictive distribution.
print.tridim_transformation | Prints out tridim_transformation object
R2 | Computes R-squared using Bayesian R-squared approach. For detail refer to: Andrew Gelman, Ben Goodrich, Jonah Gabry, and Aki Vehtari (2018). R-squared for Bayesian regression models. The American Statistician, doi:10.1080/00031305.2018.1549100.
R2.tridim_transformation | Computes R-squared using Bayesian R-squared approach. For detail refer to: Andrew Gelman, Ben Goodrich, Jonah Gabry, and Aki Vehtari (2018). R-squared for Bayesian regression models. The American Statistician, doi:10.1080/00031305.2018.1549100.
summary.tridim_transformation | Summary for a tridim_transformation object
TriDimRegression | The 'TriDimRegression' package.
tridim_transformation | Class 'tridim_transformation'.
tridim_transformation-class | Class 'tridim_transformation'.
waic.tridim_transformation | Computes widely applicable information criterion (WAIC).