Package: growthrate 1.3
Ian W. McKeague
growthrate: Bayesian reconstruction of growth velocity
A nonparametric empirical Bayes method for recovering gradients (or growth velocities) from observations of smooth functions (e.g., growth curves) at isolated time points.
Authors:
growthrate_1.3.tar.gz
growthrate_1.3.tar.gz(r-4.5-noble)growthrate_1.3.tar.gz(r-4.4-noble)
growthrate_1.3.tgz(r-4.4-emscripten)growthrate_1.3.tgz(r-4.3-emscripten)
growthrate.pdf |growthrate.html✨
growthrate/json (API)
| # Install 'growthrate' in R: |
| install.packages('growthrate', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- height_data - Height data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 years agofrom:52bdfc35d7. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 28 2024 |
| R-4.5-linux | OK | Nov 28 2024 |
Exports:cv.growthgrowthnew.growth
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Recovery of gradients from sparsely observed functional data | growthrate-package |
| cross validation error | cv.growth |
| converts height data into difference quotients | diffquo |
| recovery of growth velocities | growth |
| height data | height_data |
| posterior covariance kernel | Khatf |
| recovery of growth velocity for a new subject | new.growth |
| posterior mean | posteriordistribcurve |
| posterior mean and covariance at observation times | posteriorobs |
| prior mean | priormeanobs |