Crandore Hub

hyper.fit

N-Dimensional Hyperplane Fitting with Errors

High level functions for hyperplane fitting (hyper.fit()) and visualising (hyper.plot2d() / hyper.plot3d()). In simple terms this allows the user to produce robust 1D linear fits for 2D x vs y type data, and robust 2D plane fits to 3D x vs y vs z type data. This hyperplane fitting works generically for any N-1 hyperplane model being fit to a N dimension dataset. All fits include intrinsic scatter in the generative model orthogonal to the hyperplane.

Versions across snapshots

VersionRepositoryFileSize
1.2.2 rolling source/ R- hyper.fit_1.2.2.tar.gz 326.2 KiB
1.2.2 rolling linux/jammy R-4.5 hyper.fit_1.2.2.tar.gz 422.0 KiB
1.2.2 rolling linux/noble R-4.5 hyper.fit_1.2.2.tar.gz 421.9 KiB
1.2.2 latest source/ R- hyper.fit_1.2.2.tar.gz 326.2 KiB
1.2.2 latest linux/jammy R-4.5 hyper.fit_1.2.2.tar.gz 422.0 KiB
1.2.2 latest linux/noble R-4.5 hyper.fit_1.2.2.tar.gz 421.9 KiB
1.2.2 2026-04-26 source/ R- hyper.fit_1.2.2.tar.gz 326.2 KiB
1.2.2 2026-04-23 source/ R- hyper.fit_1.2.2.tar.gz 326.2 KiB
1.2.2 2026-04-09 windows/windows R-4.5 hyper.fit_1.2.2.zip 425.9 KiB
1.2.1 2025-04-20 source/ R- hyper.fit_1.2.1.tar.gz 318.1 KiB

Dependencies (latest)

Depends