surveyAveraging.IV: Smooth survey data using inverse variance (IV) averaging

In wStockhausen/rPIBKC: Package to run the PIBKC stock assessment

Smooth survey data using inverse variance (IV) averaging

Description

Function to smooth survey data using inverse variance averaging

Usage

surveyAveraging.IV(
  srvData,
  type = "biomass",
  sex = "male",
  category = "mature",
  n = 3,
  pdfType = "lognormal",
  ci = 0.95,
  verbose = FALSE,
  showPlot = FALSE
)

Arguments

srvData	raw survey data dataframe
type	data type ('abundance' or 'biomass') to average
sex	sex ('male' or 'female') to average
category	category ('immature','mature', or 'legal') to average
n	number of years to average across
pdfType	distribution for CIs
ci	confidence interval for CIs
verbose	flag (T/F) to print intermediate output
showPlot	flag (T/F) to plot results

Details

None.

Value

dataframe with inverse-variance averaged survey data, with columns

• year = survey year

• type = 'IV'

• value = averaged value

• lci = lower confidence interval

• uci = upper confidence interval

wStockhausen/rPIBKC documentation built on April 25, 2023, 6:50 p.m.