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PLORN

Prediction with Less Overfitting and Robust to Noise

A method for the quantitative prediction with much predictors. This package provides functions to construct the quantitative prediction model with less overfitting and robust to noise.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 PLORN_0.1.1.tar.gz 132.7 KiB
0.1.1 rolling linux/noble R-4.5 PLORN_0.1.1.tar.gz 132.7 KiB
0.1.1 rolling source/ R- PLORN_0.1.1.tar.gz 92.5 KiB
0.1.1 latest linux/jammy R-4.5 PLORN_0.1.1.tar.gz 132.7 KiB
0.1.1 latest linux/noble R-4.5 PLORN_0.1.1.tar.gz 132.7 KiB
0.1.1 latest source/ R- PLORN_0.1.1.tar.gz 92.5 KiB
0.1.1 2026-04-26 source/ R- PLORN_0.1.1.tar.gz 92.5 KiB
0.1.1 2026-04-23 source/ R- PLORN_0.1.1.tar.gz 92.5 KiB
0.1.1 2026-04-09 windows/windows R-4.5 PLORN_0.1.1.zip 136.3 KiB
0.1.1 2025-04-20 source/ R- PLORN_0.1.1.tar.gz 92.5 KiB

Dependencies (latest)

Imports

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