msenlm: Fit multiple species-environment non-linear models via...

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

Fit multiple species-environment non-linear models via maximum likelihood

Description

'msenlm' fits multiple species-environment non-linear models via maximum likelihood.

Usage

msenlm(
  models = NULL,
  data = NULL,
  xvar = NULL,
  yvar = NULL,
  method = "crossed",
  conf.level = 0.95
)

Arguments

models	Object listing models to fit (from set_models function).
data	A data frame containing 'x' (explanatory) and 'y' (response) variables.
xvar	Name of explanatory variable (must be univariate).
yvar	Names of response variables.
method	If "crossed", fit all models to all response variables. If "paired", fit first model to first response variables, etc.
conf.level	Confidence level for parameter confidence intervals. Default is 0.95.

Value

Object containg model fits to data y and x.

Examples

## Not run: 

models <- set_models(mean_fun=c("gaussian","beta"), err_dist=c("zip","zinb"))
fits <- msenlm(models=models, data=haul, xvar="depth",
               yvar=c("Albatrossia.pectoralis", "Sebastolobus.altivelis"))

## End(Not run)

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