Gnls.diag: Generalized nonlinear least squares regression diagnostics

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

Description

Calculate regression diagnostics for generalized nonlinear least squares.

Usage

Gnls.diag(res.gnls,par.inc)

Arguments

res.gnls	output from Gnls
par.inc	increments of parameters used to approximate the derivatives

Value

Returns a list containing:

par.inc	parameter increments used to calculate V
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.