npreg
Nonparametric Regression via Smoothing Splines
Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors (including random intercepts), interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for diagnostics, inference, and prediction.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
rolling linux/jammy R-4.5 | npreg_1.1.1.tar.gz |
711.5 KiB |
1.1.1 |
rolling linux/noble R-4.5 | npreg_1.1.1.tar.gz |
711.6 KiB |
1.1.1 |
rolling source/ R- | npreg_1.1.1.tar.gz |
132.8 KiB |
1.1.1 |
latest linux/jammy R-4.5 | npreg_1.1.1.tar.gz |
711.5 KiB |
1.1.1 |
latest linux/noble R-4.5 | npreg_1.1.1.tar.gz |
711.6 KiB |
1.1.1 |
latest source/ R- | npreg_1.1.1.tar.gz |
132.8 KiB |
1.1.1 |
2026-04-26 source/ R- | npreg_1.1.1.tar.gz |
132.8 KiB |
1.1.1 |
2026-04-23 source/ R- | npreg_1.1.1.tar.gz |
132.8 KiB |
1.1.1 |
2026-04-09 windows/windows R-4.5 | npreg_1.1.1.zip |
714.6 KiB |
1.1.0 |
2025-04-20 source/ R- | npreg_1.1.0.tar.gz |
131.2 KiB |