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nlreg (version 1.1-3)

Higher Order Inference for Nonlinear Heteroscedastic Models

Description

Likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance

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Version

Install

install.packages('nlreg')

Monthly Downloads

599

Version

1.1-3

License

GPL (>= 2)

Maintainer

Alessandra R Brazzale

Last Published

September 24th, 2009

Functions in nlreg (1.1-3)

nlreg

Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood
Dmean

Differentiate the Mean Function of a Nonlinear Model
all.profiles.nlreg

Support for function `profile.nlreg'
qStheta

Support for `nlreg' package of `hoa' bundle
plot.nlreg.contours

Use plot() on a `nlreg.contours' object
contour.all.nlreg.profiles

Contour Method for `nlreg' Objects
param.nlreg

Use param() on a `nlreg' object
profile.nlreg

Profile Method for `nlreg' Objects
summary.all.nlreg.profiles

Summary Method for Objects of Class `all.nlreg.profiles'
obsInfo

Returns the Observed Information Matrix --- Generic Function
print.nlreg

Use print() on a `nlreg' object
print.mpl

Use print() on a `mpl' object
fitted.nlreg

Use fitted() on a `nlreg' object
logLik.nlreg

Compute the Log Likelihood for Nonlinear Heteroscedastic Models
print.summary.mpl

Use print() on a `summary.mpl' object
nlreg.profile.objects

Profile Objects for Nonlinear Heteroscedastic Models
plot.nlreg.diag

Diagnostic Plots for Nonlinear Heteroscedastic Models
plot.nlreg.profiles

Use plot() on a `profile.nlreg' and `all.profiles.nlreg' object
summary.nlreg

Summary Method for Nonlinear Heteroscedastic Models
print.nlreg.profiles

Use print() on a `nlreg.profile' and `all.nlreg.profiles' object
obsInfo.nlreg

Observed Information Matrix for `nlreg' Objects
print.summary.nlreg

Use print() on a `summary.nlreg' object
helicopter

Helicopter Data
nlreg-package

Higher Order Inference for Nonlinear Heteroscedastic Models
residuals.nlreg

Use residuals() on a `nlreg' object
summary.mpl

Summary Method for `mpl' Objects
C1

Six Herbicide Data Sets
expInfo

Returns the Expected Information Matrix --- Generic Function
coef.nlreg

Use coef() on a `nlreg' object
chlorsulfuron

Chlorsulfuron Data
print.summary.nlreg.profiles

Use print() on a `summary.nlreg.profile' and `summary.all.nlreg.profiles' object
print.nlreg.contours

Use print() on a `nlreg.contours' object
mpl.object

Maximum Adjusted Profile Likelihood Object
daphnia

`Daphnia Magna' Data
var2cor.nlregmpl

Use var2cor() on a `nlreg' and `mpl' object
nlreg.diag

Nonlinear Heteroscedastic Model Diagnostics
metsulfuron

Metsulfuron Methyl Data
Dvar

Differentiate the Variance Function of a Nonlinear Model
var2cor

Convert Covariance Matrix to Correlation Matrix --- Generic Function
ria

Radioimmunoassay Data
mpl.nlreg

Maximum Adjusted Profile Likelihood Estimates for a `nlreg' Object
nlreg.object

Nonlinear Heteroscedastic Model Object
nlreg.contours.object

Contour Object for Nonlinear Heteroscedastic Models
expInfo.nlreg

Expected Information Matrix for `nlreg' Objects
param

Extract All Parameters from a Model --- Generic Function
mpl

Maximum Adjusted Profile Likelihood Estimation --- Generic Function
summary.nlreg.profile

Summary Method for Objects of Class `nlreg.profile'