Title: Functions for Forest Mensuration and Management
Description: Set of functions for 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 non linear grouped data fitting functions, and statistical tests.
Authors@R: c( person(c("Sollano","Rabelo", "Braga"), email="sollanorb@gmail.com",role = c("aut", "cre", "cph")),
person(c("Marcio", "Leles", "Romarco", "de","Oliveira"), email="marcioromarco@gmail.com", role = "aut"),
person(c("Eric", "Bastos","Gorgens"),email= "e.gorgensgmail.com", role =  "aut") )
Author: Sollano Rabelo Braga [aut, cre, cph],
Maintainer: Sollano Rabelo Braga <sollanorb@gmail.com>
Imports: dplyr(>= 0.7.0), ggplot2(>= 2.0), ggthemes, tidyr, broom,
scales(>= 0.4.1), psych, purrr, plyr, tibble, systemfit,
htmltools, ggpmisc, rlang, graphics, utils, covr, rmarkdown,

Description: Set of functions for 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 non linear grouped data fitting, and statistical tests.
purrr, plyr, tibble, systemfit, ggpmisc, rlang, utils, car,
stats, methods, magrittr, minpack.lm, FinCal, formattable,

Title: Forest Mensuration and Management
Description: 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>.
purrr, forcats, plyr, tibble(>= 3.0.0), systemfit, ggpmisc,
rlang, utils, car, stats, methods, magrittr, minpack.lm,
FinCal, formattable, scales, ggdendro, gridExtra,tidyselect

Imports: dplyr(>= 0.7.0), ggplot2(>= 2.0), ggthemes, tidyr,broom,purrr,