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

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

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


if (FALSE) {

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"))
}