update_deltaGLM: Reanalyzing delta-GLM and Calculating Year trend

In ShotaNishijima/delta-GLM-tree: Automatic Area Stratification for CPUE Standardization with delta-GLM

Reanalyzing delta-GLM and Calculating Year trend

Description

This function is used to reanalyze a delta-GLM by excluding categories whose all samples have CPUE > 0 or CPUE = 0 (because of not being able to use a binomial model) and to obtain a year trend

Usage

update_deltaGLM(
  binom.model,
  posi.model,
  trend = FALSE,
  factor = c("Year", "Area"),
  numeric = NULL,
  seq.length = 10,
  offset = NULL,
  area.w = TRUE,
  lon.name = "Lon",
  lat.name = "Lat",
  min.lon = 140,
  max.lon = 185,
  min.lat = 30,
  max.lat = 50,
  seq.lon = 2.5,
  seq.lat = 2.5,
  scale = "mean",
  remove = FALSE,
  data = binom.model$data,
  pull.LL = 0
)

Arguments

posi.model	glm object for positive catch rate (lognormal or gamma distribution can be used)
trend	年トレンドを計算するか
factor	年トレンドを算出する際にexpand.gridをするfactorial変数　Yearを最初にAreaを二番目にする（Area-weighted averageにする場合）
numeric	年トレンドを算出する際にexpand.gridをする連続変数
seq.length	expand.gridをする連続変数を何個に分けるか
offset	offset項に使った変数（"Effort"など）※logはいらない
area.w	各海区の重みづけ（FALSEですべて同じ、TRUEで緯度経度で面積重みづけ）
lon.name	データセットの経度の列名
lat.name	データセットの緯度の列名
seq.lon	resolution of longitudinal degree
seq.lat	resolution of latidudinal degree
binomial.model	glm object with a binomial distribution for positive catch probability

ShotaNishijima/delta-GLM-tree documentation built on Nov. 1, 2022, 8:04 p.m.