Package: quantregGrowth 1.7-1
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.
Authors:
quantregGrowth_1.7-1.tar.gz
quantregGrowth_1.7-1.zip(r-4.5)quantregGrowth_1.7-1.zip(r-4.4)quantregGrowth_1.7-1.zip(r-4.3)
quantregGrowth_1.7-1.tgz(r-4.4-any)quantregGrowth_1.7-1.tgz(r-4.3-any)
quantregGrowth_1.7-1.tar.gz(r-4.5-noble)quantregGrowth_1.7-1.tar.gz(r-4.4-noble)
quantregGrowth_1.7-1.tgz(r-4.4-emscripten)quantregGrowth_1.7-1.tgz(r-4.3-emscripten)
quantregGrowth.pdf |quantregGrowth.html✨
quantregGrowth/json (API)
NEWS
| # Install 'quantregGrowth' in R: |
| install.packages('quantregGrowth', repos = c('https://vitomuggeo.r-universe.dev', 'https://cloud.r-project.org')) |
- SiChildren - Age, height and weight in a sample of Italian children
- growthData - Simulated data to illustrate capabilities of the package
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:607dfed198. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | NOTE | Nov 19 2024 |
| R-4.5-linux | NOTE | Nov 19 2024 |
| R-4.4-win | OK | Nov 19 2024 |
| R-4.4-mac | OK | Nov 19 2024 |
| R-4.3-win | OK | Nov 19 2024 |
| R-4.3-mac | OK | Nov 19 2024 |
Exports:AIC.gcrqchartsgcrqgcrq.rq.cvlogLik.gcrqncross.rq.fitXncross.rq.fitXBncross.rq.fitXBsparseplot.gcrqpredict.gcrqprint.gcrqpssummary.gcrqvcov.gcrq
Dependencies:latticeMASSMatrixMatrixModelsquantregSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Non-Crossing Additive Regression Quantiles and Non-Parametric Growth Charts. | quantregGrowth-package quantregGrowth |
| Easy computing growth charts | charts |
| Growth charts regression quantiles with automatic smoothness estimation | gcrq |
| Simulated data to illustrate capabilities of the package | growthData |
| Log Likelihood, AIC and BIC for gcrq objects | AIC.gcrq logLik.gcrq |
| Estimation of noncrossing regression quantiles with monotonicity restrictions. | gcrq.rq.cv ncross.rq.fitX ncross.rq.fitXB ncross.rq.fitXBsparse |
| Plot method for gcrq objects | plot.gcrq |
| Prediction for "gcrq" objects | predict.gcrq |
| Print method for the gcrq class | print.gcrq |
| Specifying a smooth term in the gcrq formula. | ps |
| Age, height and weight in a sample of Italian children | SiChildren |
| Summarizing model fits for growth charts regression quantiles | summary.gcrq |
| Variance-Covariance Matrix for a Fitted 'gcrq' Model | vcov.gcrq |
