Gnls.predict: Generalized nonlinear least squares predictions

In baccione-eawag/EawagSchoolTools: Miscellaneous Tools for Eawag Summer School in Environmental Systems Analysis

Description

Calculate predictions based on generalized nonlinear least squares regression results.

Usage

Gnls.predict(diag.gnls,newx,level=0.95,var=NA)

Arguments

diag.gnls	output from Gnls.diag
newx	new model input x at which confidence intervals are to be calculated
level	probability level of confidence intervals (default 0.95)
var	error variance-covariance matrix at new model input (only variances used)

Value

Returns a list containing:

x	x values at which model results are calculated
y.pred	predicted model results
confint	confidence intervals of deterministic model results
confint.rel	confidence intervals of deterministic model results when estimating a common factor in error variances
predint	prediction intervals (only if error variance-covariance matrix is provided)
predint.rel	prediction intervals (only if error variance-covariance matrix is provided) when estimating a common factor in error variances

Author(s)

Peter Reichert <[e-mail]>

See Also

Gnls, Gnls.diag, Gnls.test, Gnls.predict, Confint

baccione-eawag/EawagSchoolTools documentation built on Dec. 19, 2021, 6:38 a.m.