Unmatched Monotone Regression

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Documentation for package ‘UMR’ version 1.1.0

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
BBfunc_mixGauss_generic Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
BBpfunc_Gauss_generic Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
BBpfunc_Laplace_generic Helper functions for calculating gradient of least-squares Shuffled Isotonic Regression criterion, for Laplace or for Gaussian errors
BBpfunc_mixGauss_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_fixed_df Gradient Descent with a fixed number of constant pieces (degrees of freedom)
grad_SIR_generic Gradient of least-squares Shuffled Isotonic Regression criterion
objective_fn_numint Compute Unlinked Monotone Regression objective function numerically
quant_deconv Carpentier and Schluter 2016 deconvolution method for unmatched monotone regression
UMR UMR: For computing an estimator in Unlinked Monotone Regression.
UMRactiveSet An active set approach to minimizing objective in Unlinked Monotone Regression
UMRactiveSet_trust An active set approach to minimizing objective in Unlinked Monotone Regression
UMRactiveSet_trust2 An active set approach to minimizing objective in Unlinked Monotone Regression
UMRgradDesc Basic gradient descent implementation
UMRgradDesc_fixed_df Gradient Descent with a fixed number of constant pieces (degrees of freedom)
UMRgradDesc_PC Gradient Descent implemented for Piecewise Constant functions
UMRgrad_generic Gradient of least-squares Shuffled Isotonic Regression criterion
UMRhess Compute Hessian of Unlinked Monotone Regression objective function from Balabdaoui, Doss, and Durot
UMRhess_generic Compute Hessian of Unlinked Monotone Regression objective function from Balabdaoui, Doss, and Durot
UMR_CC_generic @title Second derivative computations of least-squares Unlinked Isotonic Regression criterion ("SIR" comes from "shuffled isotonic regression" although this terminology is now outdated).
UMR_curv_generic @title Second derivative computations of least-squares Unlinked Isotonic Regression criterion ("SIR" comes from "shuffled isotonic regression" although this terminology is now outdated).
UMR_curv_generic2 @title Second derivative computations of least-squares Unlinked Isotonic Regression criterion ("SIR" comes from "shuffled isotonic regression" although this terminology is now outdated).
umr_deconv Carpentier and Schluter 2016 deconvolution method for unmatched monotone regression