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nlreg (version 1.2-1)
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
Version
1.2-2.2
1.2-2.1
1.2-2
1.2-1
1.2-0
1.1-3
Install
install.packages('nlreg')
Monthly Downloads
599
Version
1.2-1
License
GPL (>= 2)
Homepage
http://www.r-project.org
Maintainer
Alessandra R Brazzale
Last Published
November 25th, 2011
Functions in nlreg (1.2-1)
Search all functions
qStheta
Support for `nlreg' package of `hoa' bundle
plot.nlreg.profiles
Use plot() on a `profile.nlreg' and `all.profiles.nlreg' object
summary.mpl
Summary Method for `mpl' Objects
param.nlreg
Use param() on a `nlreg' object
mpl
Maximum Adjusted Profile Likelihood Estimation --- Generic Function
chlorsulfuron
Chlorsulfuron Data
nlreg.profile.objects
Profile Objects for Nonlinear Heteroscedastic Models
obsInfo
Returns the Observed Information Matrix --- Generic Function
Dvar
Differentiate the Variance Function of a Nonlinear Model
contour.all.nlreg.profiles
Contour Method for `nlreg' Objects
summary.nlreg.profile
Summary Method for Objects of Class `nlreg.profile'
print.mpl
Use print() on a `mpl' object
all.profiles.nlreg
Support for function `profile.nlreg'
ria
Radioimmunoassay Data
daphnia
`Daphnia Magna' Data
helicopter
Helicopter Data
coef.nlreg
Use coef() on a `nlreg' object
obsInfo.nlreg
Observed Information Matrix for `nlreg' Objects
print.summary.nlreg.profiles
Use print() on a `summary.nlreg.profile' and `summary.all.nlreg.profiles' object
summary.all.nlreg.profiles
Summary Method for Objects of Class `all.nlreg.profiles'
expInfo.nlreg
Expected Information Matrix for `nlreg' Objects
metsulfuron
Metsulfuron Methyl Data
nlreg.object
Nonlinear Heteroscedastic Model Object
print.nlreg.profiles
Use print() on a `nlreg.profile' and `all.nlreg.profiles' object
summary.nlreg
Summary Method for Nonlinear Heteroscedastic Models
Dmean
Differentiate the Mean Function of a Nonlinear Model
nlreg.diag
Nonlinear Heteroscedastic Model Diagnostics
nlreg
Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood
residuals.nlreg
Use residuals() on a `nlreg' object
C1
Six Herbicide Data Sets
print.nlreg.contours
Use print() on a `nlreg.contours' object
var2cor
Convert Covariance Matrix to Correlation Matrix --- Generic Function
fitted.nlreg
Use fitted() on a `nlreg' object
nlreg-package
Higher Order Inference for Nonlinear Heteroscedastic Models
print.nlreg
Use print() on a `nlreg' object
plot.nlreg.contours
Use plot() on a `nlreg.contours' object
print.summary.nlreg
Use print() on a `summary.nlreg' object
nlreg.contours.object
Contour Object for Nonlinear Heteroscedastic Models
profile.nlreg
Profile Method for `nlreg' Objects
logLik.nlreg
Compute the Log Likelihood for Nonlinear Heteroscedastic Models
expInfo
Returns the Expected Information Matrix --- Generic Function
mpl.object
Maximum Adjusted Profile Likelihood Object
plot.nlreg.diag
Diagnostic Plots for Nonlinear Heteroscedastic Models
param
Extract All Parameters from a Model --- Generic Function
mpl.nlreg
Maximum Adjusted Profile Likelihood Estimates for a `nlreg' Object
print.summary.mpl
Use print() on a `summary.mpl' object
var2cor.nlregmpl
Use var2cor() on a `nlreg' and `mpl' object