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TriDimRegression
View on CRAN: Click
here
Download and install TriDimRegression package within the R console
Install from CRAN:
install.packages("TriDimRegression")
Install from Github:
library("remotes")
install_github("cran/TriDimRegression")
Install by package version:
library("remotes")
install_version("TriDimRegression", "1.0.2")
Attach the package and use:
library("TriDimRegression")
Maintained by
Alexander (Sasha) Pastukhov
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.TriDimRegression . TriDimRegression results . TriDimRegression.pdf . TriDimRegression_1.0.2.tar.gz . TriDimRegression_1.0.2.zip . TriDimRegression_1.0.2.zip . TriDimRegression_1.0.2.zip . TriDimRegression_1.0.2.tgz . TriDimRegression_1.0.2.tgz . TriDimRegression_1.0.2.tgz . TriDimRegression_1.0.2.tgz . TriDimRegression archive . https://CRAN.R-project.org/package=TriDimRegression .
First Published: 2021-05-04
Latest Update: 2021-10-05
Description:
Fits 2D and 3D geometric transformations via 'Stan' probabilistic programming engine ( Stan Development Team (2021) <https://mc-stan.org>). 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>).
How to cite:
Alexander (Sasha) Pastukhov (2021). TriDimRegression: Bayesian Statistics for 2D/3D Transformations. R package version 1.0.2, https://cran.r-project.org/web/packages/TriDimRegression. Accessed 29 Apr. 2025.
Other packages that cited TriDimRegression R package
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Other R packages that TriDimRegression depends,
imports, suggests or enhances
Complete documentation for TriDimRegression
Functions, R codes and Examples using
the TriDimRegression R package
Some associated functions: CarbonExample1Data . CarbonExample2Data . CarbonExample3Data . EyegazeData . Face3D_M010 . Face3D_M101 . Face3D_M244 . Face3D_M92 . Face3D_W070 . Face3D_W097 . Face3D_W182 . Face3D_W243 . FriedmanKohlerData1 . FriedmanKohlerData2 . NakayaData . R2 . TriDimRegression-package . check_exponential_prior . check_normal_prior . check_variables . coef.tridim_transformation . coef_summary . fit_transformation . fit_transformation_df . get_beta_n . is.tridim_transformation . loo.tridim_transformation . m2_affine . m2_euclidean . m2_projective . m2_translation . m3_affine . m3_euclidean_x . m3_euclidean_y . m3_euclidean_z . m3_projective . m3_translation . plot.tridim_transformation . predict.tridim_transformation . print.tridim_transformation . summary.tridim_transformation . transformation_matrix . tridim_transformation-class . variable_summary . waic.tridim_transformation .
Some associated R codes: R2.R . TriDimRegression-package.R . bi_transformation_matrices.R . check_exponential_prior.R . check_normal_prior.R . check_variables.R . coef.R . coef_summary.R . data.R . fit_transformation.R . fit_transformation_df.R . get_beta_n.R . loo.R . plot.R . predict.R . print.R . stanmodels.R . summary.R . transformation_matrix.R . tri_transformation_matrices.R . tridim_transformation-class.R . variable_summary.R . waic.R . Full TriDimRegression package functions and examples
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