quantregGrowth
Non-Crossing Additive Regression Quantiles and Non-Parametric Growth Charts
Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms, including varying coefficients, via B-splines with L1-norm difference penalties. Random intercepts and variable selection are allowed via the lasso penalties. The smoothing parameters are estimated as part of the model fitting, see Muggeo and others (2021) <doi:10.1177/1471082X20929802>. Monotonicity and concavity constraints on the fitted curves are allowed, see Muggeo and others (2013) <doi:10.1007/s10651-012-0232-1>, and also <doi:10.13140/RG.2.2.12924.85122> or <doi:10.13140/RG.2.2.29306.21445> some code examples.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.7-2 |
rolling linux/jammy R-4.5 | quantregGrowth_1.7-2.tar.gz |
389.3 KiB |
1.7-2 |
rolling linux/noble R-4.5 | quantregGrowth_1.7-2.tar.gz |
389.2 KiB |
1.7-2 |
rolling source/ R- | quantregGrowth_1.7-2.tar.gz |
175.5 KiB |
1.7-2 |
latest linux/jammy R-4.5 | quantregGrowth_1.7-2.tar.gz |
389.3 KiB |
1.7-2 |
latest linux/noble R-4.5 | quantregGrowth_1.7-2.tar.gz |
389.2 KiB |
1.7-2 |
latest source/ R- | quantregGrowth_1.7-2.tar.gz |
175.5 KiB |
1.7-2 |
2026-04-26 source/ R- | quantregGrowth_1.7-2.tar.gz |
175.5 KiB |
1.7-2 |
2026-04-23 source/ R- | quantregGrowth_1.7-2.tar.gz |
175.5 KiB |
1.7-2 |
2026-04-09 windows/windows R-4.5 | quantregGrowth_1.7-2.zip |
392.6 KiB |
1.7-1 |
2025-04-20 source/ R- | quantregGrowth_1.7-1.tar.gz |
174.3 KiB |