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: | 0.9.4 |
| Depends: | R (≥ 3.3) |
| Imports: | dplyr (≥ 0.7.0), ggplot2 (≥ 2.0), 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: | 2021-08-16 |
| 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 |
| Package source: | forestmangr_0.9.4.tar.gz |
| Windows binaries: | r-devel: forestmangr_0.9.4.zip, r-release: forestmangr_0.9.4.zip, r-oldrel: forestmangr_0.9.4.zip |
| macOS binaries: | r-release (arm64): forestmangr_0.9.4.tgz, r-oldrel (arm64): forestmangr_0.9.4.tgz, r-release (x86_64): forestmangr_0.9.4.tgz, r-oldrel (x86_64): forestmangr_0.9.4.tgz |
| Old sources: | forestmangr archive |
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