cowbell
Performs Segmented Linear Regression on Two Independent Variables
Implements a specific form of segmented linear regression with two independent variables. The visualization of that function looks like a quarter segment of a cowbell giving the package its name. The package has been specifically constructed for the case where minimum and maximum value of the dependent and two independent variables are known a prior, which is usually the case when those values are derived from Likert scales.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | cowbell_0.1.0.tar.gz |
273.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | cowbell_0.1.0.tar.gz |
273.2 KiB |
0.1.0 |
rolling source/ R- | cowbell_0.1.0.tar.gz |
413.0 KiB |
0.1.0 |
latest linux/jammy R-4.5 | cowbell_0.1.0.tar.gz |
273.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | cowbell_0.1.0.tar.gz |
273.2 KiB |
0.1.0 |
latest source/ R- | cowbell_0.1.0.tar.gz |
413.0 KiB |
0.1.0 |
2026-04-26 source/ R- | cowbell_0.1.0.tar.gz |
413.0 KiB |
0.1.0 |
2026-04-23 source/ R- | cowbell_0.1.0.tar.gz |
413.0 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | cowbell_0.1.0.zip |
274.3 KiB |
0.1.0 |
2025-04-20 source/ R- | cowbell_0.1.0.tar.gz |
413.0 KiB |