Gnls.test: Generalized nonlinear least squares test statistics

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

Description

Calculate test statistics for generalized nonlinear least squares.

Usage

Gnls.test(res.gnls,V,par,y.det)

Arguments

res.gnls	output from Gnls
V	matrix of partial derivatives of model results with respect to parameters at the estimated parameter values
par	named parameter vector with parameter estimates
y.det	deterministic model results corresponding to the estimated parameters

Value

Returns a list containing:

V	matrix of partial derivatives of model results with respect to parameters at the estimated parameter values
sd.par	standard errors of the parameters assuming known error variances
var.par	estimated variance-covariance matrix of the parameters assuming known error variances
corr.par	estimated correlation matrix of the parameters
sd.rel	estimated correction factor in standard deviations of the error model
sd.par.rel	standard errors of the parameters when estimating a common factor in error variances
var.par.rel	estimated variance-covariance matrix of the parameters 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.