Processing forest inventory data with methods such as simple random sampling, stratified random sampling and systematic sampling. There are also functions for yield and growth predictions and model fitting, linear and nonlinear grouped data fitting, and statistical tests. References: Kershaw Jr., Ducey, Beers and Husch (2016). <doi:10.1002/9781118902028>.
| Version: |
0.9.8 |
| Depends: |
R (≥ 4.2) |
| Imports: |
dplyr (≥ 1.0), ggplot2 (≥ 3.0), ggthemes, tidyr, broom, purrr, plyr, tibble (≥ 3.0.0), systemfit, ggpmisc, rlang, utils, car, stats, methods, magrittr, minpack.lm, FinCal, scales, ggdendro, gridExtra, shiny, miniUI |
| Suggests: |
knitr, rmarkdown, tidyselect, formattable |
| Published: |
2024-12-01 |
| DOI: |
10.32614/CRAN.package.forestmangr |
| Author: |
Sollano Rabelo Braga [aut, cre, cph],
Marcio Leles Romarco de Oliveira [aut],
Eric Bastos Gorgens [aut] |
| Maintainer: |
Sollano Rabelo Braga <sollanorb at gmail.com> |
| BugReports: |
https://github.com/sollano/forestmangr/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/sollano/forestmangr#readme |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
forestmangr results [issues need fixing before 2026-02-25] |