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ConSpline

Partial Linear Least-Squares Regression using Constrained Splines

Given response y, continuous predictor x, and covariate matrix, the relationship between E(y) and x is estimated with a shape constrained regression spline. Function outputs fits and various types of inference.

Versions across snapshots

VersionRepositoryFileSize
1.2 rolling linux/jammy R-4.5 ConSpline_1.2.tar.gz 55.5 KiB
1.2 rolling linux/noble R-4.5 ConSpline_1.2.tar.gz 55.5 KiB
1.2 rolling source/ R- ConSpline_1.2.tar.gz 12.1 KiB
1.2 latest linux/jammy R-4.5 ConSpline_1.2.tar.gz 55.5 KiB
1.2 latest linux/noble R-4.5 ConSpline_1.2.tar.gz 55.5 KiB
1.2 latest source/ R- ConSpline_1.2.tar.gz 12.1 KiB
1.2 2026-04-26 source/ R- ConSpline_1.2.tar.gz 12.1 KiB
1.2 2026-04-23 source/ R- ConSpline_1.2.tar.gz 12.1 KiB
1.2 2026-04-09 windows/windows R-4.5 ConSpline_1.2.zip 58.8 KiB
1.2 2025-04-20 source/ R- ConSpline_1.2.tar.gz 12.1 KiB

Dependencies (latest)

Depends