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nlreg (version 1.2-2.2)
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
213
Version
1.2-2.2
License
GPL (>= 2) | file LICENCE
Homepage
https://www.r-project.org
Maintainer
Alessandra R Brazzale
Last Published
January 30th, 2019
Functions in nlreg (1.2-2.2)
Search all functions
allProfiles
Support for function `profile.nlreg' --- Generic Function
plot.nlreg.contours
Use plot() on a `nlreg.contours' object
expInfo.nlreg
Expected Information Matrix for `nlreg' Objects
fitted.nlreg
Use fitted() on a `nlreg' object
summary.all.nlreg.profiles
Summary Method for Objects of Class `all.nlreg.profiles'
summary.mpl
Summary Method for `mpl' Objects
qStheta
Support for `nlreg' package of `hoa' bundle
profile.nlreg
Profile Method for `nlreg' Objects
helicopter
Helicopter Data
logLik.nlreg
Compute the Log Likelihood for Nonlinear Heteroscedastic Models
nlreg-package
nlreg
obsInfo
Returns the Observed Information Matrix --- Generic Function
plot.nlreg.diag
Diagnostic Plots for Nonlinear Heteroscedastic Models
obsInfo.nlreg
Observed Information Matrix for `nlreg' Objects
nlreg
Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood
plot.nlreg.profiles
Use plot() on a `profile.nlreg' and `all.profiles.nlreg' object
nlreg.diag
Nonlinear Heteroscedastic Model Diagnostics
nlreg.contours.object
Contour Object for Nonlinear Heteroscedastic Models
print.mpl
Use print() on a `mpl' object
print.nlreg
Use print() on a `nlreg' object
mpl.nlreg
Maximum Adjusted Profile Likelihood Estimates for a `nlreg' Object
mpl.object
Maximum Adjusted Profile Likelihood Object
param
Extract All Parameters from a Model --- Generic Function
metsulfuron
Metsulfuron Methyl Data
print.nlreg.profiles
Use print() on a `nlreg.profile' and `all.nlreg.profiles' object
param.nlreg
Use param() on a `nlreg' object
summary.nlreg.profile
Summary Method for Objects of Class `nlreg.profile'
summary.nlreg
Summary Method for Nonlinear Heteroscedastic Models
print.nlreg.contours
Use print() on a `nlreg.contours' object
print.summary.mpl
Use print() on a `summary.mpl' object
residuals.nlreg
Use residuals() on a `nlreg' object
mpl
Maximum Adjusted Profile Likelihood Estimation --- Generic Function
ria
Radioimmunoassay Data
nlreg.object
Nonlinear Heteroscedastic Model Object
nlreg.profile.objects
Profile Objects for Nonlinear Heteroscedastic Models
print.summary.nlreg.profiles
Use print() on a `summary.nlreg.profile' and `summary.all.nlreg.profiles' object
print.summary.nlreg
Use print() on a `summary.nlreg' object
var2cor
Convert Covariance Matrix to Correlation Matrix --- Generic Function
var2cor.nlregmpl
Use var2cor() on a `nlreg' and `mpl' object
expInfo
Returns the Expected Information Matrix --- Generic Function
daphnia
`Daphnia Magna' Data
coef.nlreg
Use coef() on a `nlreg' object
Dvar
Differentiate the Variance Function of a Nonlinear Model
C1
Six Herbicide Data Sets
allProfiles.nlreg
Support for function `profile.nlreg'
Dmean
Differentiate the Mean Function of a Nonlinear Model
contour.all.nlreg.profiles
Contour Method for `nlreg' Objects
chlorsulfuron
Chlorsulfuron Data