Bayesian Statistics for 2D/3D Transformations

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Documentation for package ‘TriDimRegression’ version 1.0.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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).
_PACKAGE	The 'TriDimRegression' package.