Growth charts (for the eager :-)) | Additive model | Additive model with linear terms | Varying coefficient models | Simple linear models | Customizing the penalty | Variable selection | References
Package: quantregGrowth 1.7-2
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_1.7-2.tar.gz
quantregGrowth_1.7-2.zip(r-4.7)quantregGrowth_1.7-2.zip(r-4.6)quantregGrowth_1.7-2.zip(r-4.5)
quantregGrowth_1.7-2.tgz(r-4.6-any)quantregGrowth_1.7-2.tgz(r-4.5-any)
quantregGrowth_1.7-2.tar.gz(r-4.7-any)quantregGrowth_1.7-2.tar.gz(r-4.6-any)
quantregGrowth_1.7-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
quantregGrowth/json (API)
| # Install 'quantregGrowth' in R: |
| install.packages('quantregGrowth', repos = c('https://vitomuggeo.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- growthData - Simulated data to illustrate capabilities of the package
- SiChildren - Age, height and weight in a sample of Italian children
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:17463b639b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 227 | ||
| linux-release-x86_64 | OK | 145 | ||
| macos-release-arm64 | OK | 212 | ||
| macos-oldrel-arm64 | OK | 195 | ||
| windows-devel | OK | 100 | ||
| windows-release | OK | 103 | ||
| windows-oldrel | OK | 110 | ||
| wasm-release | OK | 112 |
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 |
