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.
dplyr(>= 0.7.0), ggplot2(>= 2.0), ggthemes, tidyr, broom,
purrr, plyr, tibble, systemfit, ggpmisc, rlang, utils, car,
stats, methods, magrittr, minpack.lm, FinCal, formattable,
scales, ggdendro, gridExtra

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>.
dplyr(>= 0.7.0), ggplot2(>= 2.0), ggthemes, tidyr, broom,
purrr, forcats, plyr, tibble(>= 3.0.0), systemfit, ggpmisc,
rlang, utils, car, stats, methods, magrittr, minpack.lm,
FinCal, formattable, scales, ggdendro, gridExtra,tidyselect

dplyr(>= 0.7.0), ggplot2(>= 2.0), ggthemes, tidyr, broom,
purrr, forcats, plyr, tibble(>= 3.0.0), systemfit, ggpmisc,
rlang, utils, car, stats, methods, magrittr, minpack.lm,
FinCal, formattable, scales, ggdendro,
gridExtra,tidyselect,shiny,miniUI

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

Produces forest plots using 'ggplot2' from models produced by functions
such as stats::lm(), stats::glm() and survival::coxph().

Advanced Forest Plot Using 'grid' Graphics
c(person(given = "Max",
family = "Gordon",
role = c("aut", "cre"),
email = "max@gforge.se"),
person(given = "Thomas",
family = "Lumley",
role = c("aut", "ctb")))
The plot allows for multiple confidence intervals per row,
custom fonts for each text element,
custom confidence intervals,
text mixed with expressions, and more.
The aim is to extend the use of forest plots beyond meta-analyses.
This is a more general version of the original 'rmeta' package's forestplot
function and relies heavily on the 'grid' package.
Max Gordon [aut, cre],
Thomas Lumley [aut, ctb]