EstemPMM (version 0.1.1)

ts_pmm2_inference: Bootstrap inference for PMM2 time series models

Description

Bootstrap inference for PMM2 time series models

Usage

ts_pmm2_inference(
  object,
  x = NULL,
  B = 200,
  seed = NULL,
  block_length = NULL,
  method = c("residual", "block"),
  parallel = FALSE,
  cores = NULL,
  debug = FALSE
)

Value

data.frame with columns: Estimate, Std.Error, t.value, p.value

Arguments

object

object of class TS2fit

x

(optional) original time series; if NULL, uses object@original_series

B

number of bootstrap replications

seed

(optional) for reproducibility

block_length

block length for block bootstrap; if NULL, uses heuristic value

method

bootstrap type: "residual" or "block"

parallel

logical, whether to use parallel computing

cores

number of cores for parallel computing

debug

logical, whether to output additional diagnostic information