forecast: Forecast From A Ricker Or Larkin Model
In luke-a-rogers/larkin: Forecast From Larkin And Ricker Stock-Recruitment Models

forecast

R Documentation

Forecast From A Ricker Or Larkin Model

Description

Forecast From A Ricker Or Larkin Model

Usage

forecast(
  data,
  index = NULL,
  recruits = "recruits",
  spawners = "spawners",
  p_prime = c(0.003, 0.917, 0.08),
  environs = character(0),
  run_stan = TRUE,
  prior_mean_alpha,
  prior_mean_beta,
  prior_mean_gamma = numeric(0),
  prior_mean_sigma,
  prior_mean_omega = 0,
  prior_sd_alpha,
  prior_sd_beta,
  prior_sd_gamma = numeric(0),
  prior_sd_sigma,
  prior_sd_omega = 0,
  id_cols = NULL,
  id_vals = NULL,
  cores = 1,
  chains = 3,
  step_size = 0.01,
  adapt_delta = 0.9,
  iter_warmup = 250,
  iter_sampling = 750,
  ...
)

Arguments

`data`	`data.frame()` input data
`index`	`integer()` `vector()`
`recruits`	`character()`
`spawners`	`character()`
`p_prime`	`character()` `vector()`
`environs`	`character()` `vector()`
`run_stan`	`logical()`
`prior_mean_alpha`	`numeric()`
`prior_mean_beta`	`numeric()` `vector()`
`prior_mean_gamma`	`numeric()` `vector()`
`prior_mean_sigma`	`numeric()`
`prior_mean_omega`	`numeric()`
`prior_sd_alpha`	`numeric()`
`prior_sd_beta`	`numeric()`
`prior_sd_gamma`	`numeric()` `vector()`
`prior_sd_sigma`	`numeric()`
`prior_sd_omega`	`numeric()`
`id_cols`	`character()` colnames in `data`
`id_vals`	`list()` of name-value pairs
`cores`	`numeric()`
`chains`	`numeric()`
`step_size`	`numeric()`
`adapt_delta`	`numeric()`
`iter_warmup`	`integer()`
`iter_sampling`	`integer()`
`...`	additional arguments to pass to `cmdstanr::sample()`