Package: rTG 1.0.3
rTG: Methods to Analyse Seasonal Radial Tree Growth Data
Methods for comparing different regression algorithms for describing the temporal dynamics of secondary tree growth (xylem and phloem). Users can compare the accuracy of the most common fitting methods usually used to analyse xylem and phloem data, i.e., Gompertz function, Double Gompertz function, General Additive Models (GAMs); and an algorithm newly introduced to the field, i.e., Bayesian Regularised Neural Networks (brnn). The core function of the package is XPSgrowth(), while the results can be interpreted using implemented generic S3 methods, such as plot() and summary().
Authors:
rTG_1.0.3.tar.gz
rTG_1.0.3.zip(r-4.5)rTG_1.0.3.zip(r-4.4)rTG_1.0.3.zip(r-4.3)
rTG_1.0.3.tgz(r-4.4-any)rTG_1.0.3.tgz(r-4.3-any)
rTG_1.0.3.tar.gz(r-4.5-noble)rTG_1.0.3.tar.gz(r-4.4-noble)
rTG_1.0.3.tgz(r-4.4-emscripten)rTG_1.0.3.tgz(r-4.3-emscripten)
rTG.pdf |rTG.html✨
rTG/json (API)
NEWS
# Install 'rTG' in R: |
install.packages('rTG', repos = c('https://jernejjevsenak.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jernejjevsenak/rtg/issues
- data_dendrometers - Data_dendrometers
- data_trees - Data_trees
- parameters - Parameters
Last updated 3 months agofrom:74caf5baaa. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 23 2024 |
R-4.5-win | OK | Oct 23 2024 |
R-4.5-linux | OK | Oct 23 2024 |
R-4.4-win | OK | Oct 23 2024 |
R-4.4-mac | OK | Oct 23 2024 |
R-4.3-win | OK | Oct 23 2024 |
R-4.3-mac | OK | Oct 23 2024 |
Exports:double_gompertzXPSgrowth
Dependencies:brnnclicolorspacedplyrevaluatefansifarverFormulagenericsggplot2gluegtablehighrisobandknitrlabelinglatticelifecyclemagrittrMASSMatrixmgcvminpack.lmmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbletidyselecttruncnormutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
data_dendrometers | data_dendrometers |
data_trees | data_trees |
parameters | parameters |
XPSgrowth | XPSgrowth |