Unmatched Monotone Regression

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Documentation for package ‘UMR’ version 1.0.0

Help Pages

AA Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
AAfunc_Gauss_generic Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
AAfunc_Laplace_generic Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
BB Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
BBfunc_Gauss_generic Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
BBfunc_Laplace_generic Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
getAAfunc_est_outer Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
getBBfunc_est Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
getBBfunc_est_outer Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
gradDesc Basic gradient descent implementation
gradDesc_PC Gradient Descent implemented for Piecewise Constant functions
grad_SIR_generic @title Gradient of least-squares Shuffled Isotonic Regression criterion
quant_deconv Carpentier and Schluter 2016 deconvolution method for unmatched monotone regression
UMR UMR: For computing an estimator in Unlinked Monotone Regression.
umr_deconv Carpentier and Schluter 2016 deconvolution method for unmatched monotone regression