boot_fgeo: Bootstrap values to get site-level estimates and 95%...

In cpiponiot/cdynfgeo: What the Package Does (One Line, Title Case)

Description

Bootstrap values to get site-level estimates and 95% confidence intervals

Usage

boot_fgeo(
  value,
  weight,
  subplot,
  variable,
  group,
  group2,
  year = NULL,
  dT = NULL,
  kohyama = NULL,
  nrep = 1000,
  para = FALSE
)

Arguments

value	Data to be bootstraped, as a numerical vector.
weight	Weight given to observations, as a numerical vector of same length as value.
subplot	Subplots observations belong to.
variable	Variables observations belong to.
group	Grouping factor (for example size).
group2	Additional grouping factor (for example site).
year	Year observations belong to. Default is NULL.
dT	Time interval (years) between the current census (as in year) and the next one.
kohyama	Name of variables to apply Kohyama correction (2019), should be a vector of length 3 with name of stock variable, influx variable, and outflux variable (in that order). Default is NULL (i.e. correction not applied).
nrep	Default is 1000.
para	Default is FALSE.

Value

A data frame with relevant variables.

cpiponiot/cdynfgeo documentation built on July 7, 2020, 3:27 p.m.