forestmangr: Forest Mensuration and Management (original) (raw)

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