bootstrap.phenologyFit: bootstrap.phenologyFit

In chillR: Statistical Methods for Phenology Analysis in Temperate Fruit Trees

bootstrap.phenologyFit

Description

This function bootstraps the residuals of a 'phenologyFit'. It internally calls 'phenologyFitter' on each bootstrap replicate.

Usage

bootstrap.phenologyFit(
  object,
  boot.R = 99,
  control = list(smooth = FALSE, verbose = FALSE, maxit = 1000, nb.stop.improvement =
    250),
  lower,
  upper,
  seed = 1766588
)

Arguments

object	class 'phenologyFit', the object to bootstrap
boot.R	integer. The number of bootstrap replicates
control	control parameters to 'GenSA', see 'GenSA::GenSA'
lower	Vector with length of ‘par.guess’. Lower bounds for components.
upper	Vector with length of ‘par.guess’. Upper bounds for components. If missing, 'upper' in 'object' is used.
seed	integer seed for the random number generator used by 'GenSA'. If missing, 'lower' in 'object' is used.

Details

bootstrap an object of S3 class 'phenologyFit'

Value

Invisibly returns a list with elements 'boot.R', 'object', 'seed', 'residuals', 'lower', 'upper', and 'res'. The latter list 'res' has 'boot.R' elements, which are lists again. Each of these lists contains named elements 'par', 'value', 'bloomJDays', and 'pbloomJDays'. 'par' are the best fit parameters on the particular bootstrap replicate, 'value' the corresponding RSS, 'bloomJDays' the re-sampled data and 'pbloomJDays' the predicted bloom JDays for this sample.

Author(s)

Carsten Urbach <[e-mail]>

chillR documentation built on Nov. 28, 2023, 1:09 a.m.