Predict the accumulation curve from a HubbellGLM model for new observations.

Predict the accumulation curve from a HubbellGLM model for new observations.

Usage

predict_curve(fit, xnew, n = 3000, npoints = 100, .vcov = NULL)

Arguments

fit

An object of class HubbellGLM.

xnew

A data.frame with the same predictor columns used to fit fit. Each row produces one set of accumulation curve predictions.

n

Total number of individuals to extrapolate to. Must be a single positive integer.

npoints

Number of equally-spaced grid points between 1 and n. Must satisfy npoints <= n. Default is 100.

.vcov

Optional variance-covariance matrix for the regression coefficients. Must be a square matrix of dimension equal to the number of coefficients in fit. Defaults to vcov(fit).

Value

A named list with three elements:

n

Integer vector of length npoints with the grid points (number of individuals).

mean

A data.frame with npoints rows and one column per row of xnew, containing the predicted species richness at each grid point.

se

A data.frame of the same shape as mean, containing standard errors computed via the delta method.