create_default_par_list: Create default parameter list

In PRIMER-e/senlm: Species environment non-linear modelling

Create default parameter list

Description

Create parameter object using default values.

Usage

create_default_par_list(
  models = NULL,
  mean_fun = NULL,
  mean_class = NULL,
  err_dist = NULL,
  err_class = NULL,
  binomial_n = NA,
  method = "paired"
)

Arguments

models	Models defined by set_models() object.
mean_fun	Mean function.
mean_class	String that indicates the class of mean functions to list.
err_dist	Error distribution.
err_class	String that indicates the class of error distributions to list.
binomial_n	Value of binomial n parameter for binomial models.
method	How mean function and error distributions should be combined; "paired" or "crossed".

Value

List of parameter simulation objects.

Examples

## Create default parameters from set_models() object
Models <- set_models (mean_fun=c("gaussian", "beta", "sech", "modskurt"),
                      err_dist=c("poisson","zip"), method="crossed")
Pars <- create_default_par_list (Models)

## Create parameter object by pairing mean function and error distribution
Pars <- create_default_par_list (method="paired",
                                 mean_fun=c("gaussian", "beta"), 
                                 err_dist=c("zip", "zinb"))

## Create parameter object by crossing mean function and error distribution
Pars <- create_default_par_list (method="crossed",
                                 mean_fun=c("gaussian", "beta"), 
                                 err_dist=c("poisson", "zip", "zinb"))

PRIMER-e/senlm documentation built on Nov. 20, 2022, 2:38 a.m.