pnp_lobagoc: Internal function for fitting lobagoc distributions in...

In bmaitner/pbsdm: Small Sample Size Species Distribution Modeling

Internal function for fitting lobagoc distributions in plug-and-play SDMs.

Description

This function both fits lobagoc distributions \insertCiteDrake2014-qzS4DM and projects those distributions to new covariates.

Usage

pnp_lobagoc(data, method, object = NULL, v = 100, nu = 0.01, sigma = NULL)

Arguments

data	dataframe of covariates
method	one of either "fit" or "predict"
object	fitted object returned by a pnp_... function. Only needed when method = "predict"
v	Positive integer. The Number of votes to use (default is 100)
nu	Numeric. Tuning parameter for nu-svm
sigma	NULL or Numeric. Tuning parameter of rbf kernel, will estimate if left NULL (default).

Details

For fitting, an object is not required (and will be ignored). For prediction, parameters v,nu,and sigma are not needed and will be ignored.

References

\insertAllCited

bmaitner/pbsdm documentation built on Feb. 8, 2025, 2:27 p.m.