retfit.qtr: Fit linear regression with covariate value in specific...

In eeholmes/SardineForecast: Indian Oil Sardine Data, Code and References for Papers on Forecasting

Description

Fit a linear regression model where the covariate value in specific quarter is the covariate that explains all quarters of catch in a specific year. A 'year' for sardine starts in Q3 and goes to Q2 of the next year. The effect of a covariate can be specified to be quarter specific, that is catch in Q1 may respond differently to the covariate than catch in Q4. Note: this is an outdated function not used once I switched to GAMs.

Usage

retfit.qtr(
  covname,
  catch.qtr = 1:4,
  yearlag = 0,
  cov.qtr = 1,
  boxes = 1:14,
  qtr.effect = FALSE
)

Arguments

covname	name of the covariate. Must be a colname in seio_covariates_qtr. If one of the covariates is from the boxes, then specify the part of the name in front of the number.
catch.qtr	what quarter(s) of catch to use as the response
yearlag	If 0, it means covariate in current year, where a sardine year starts in Q3.
cov.qtr	the quarter to use for the covariate.
boxes	for covariate from a box, the box number or numbers to use
qtr.effect	whether to make the covariate effect on catch depend on the quarter in which the catch is from

Value

An lm object of the fit

Examples

#Effect of precip in box 5 in qtr 1 in the previous year on catch
retfit.qtr("Precip", yearlag=1, cov.qtr=1, boxes=5)

eeholmes/SardineForecast documentation built on July 17, 2021, 2:56 a.m.