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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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