Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.2-2.2) of this package.
Take me there.
nlreg (version 1.2-2.1)
Higher Order Inference for Nonlinear Heteroscedastic Models
Description
Likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance.
Copy Link
Link to current version
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
608
Version
1.2-2.1
License
GPL (>= 2) | file LICENCE
Homepage
https://www.r-project.org
Maintainer
Alessandra R Brazzale
Last Published
April 16th, 2018
Functions in nlreg (1.2-2.1)
Search all functions
C1
Six Herbicide Data Sets
Dvar
Differentiate the Variance Function of a Nonlinear Model
expInfo.nlreg
Expected Information Matrix for `nlreg' Objects
all.profiles.nlreg
Support for function `profile.nlreg'
mpl
Maximum Adjusted Profile Likelihood Estimation --- Generic Function
mpl.nlreg
Maximum Adjusted Profile Likelihood Estimates for a `nlreg' Object
plot.nlreg.profiles
Use plot() on a `profile.nlreg' and `all.profiles.nlreg' object
plot.nlreg.diag
Diagnostic Plots for Nonlinear Heteroscedastic Models
mpl.object
Maximum Adjusted Profile Likelihood Object
qStheta
Support for `nlreg' package of `hoa' bundle
nlreg-package
Higher Order Inference for Nonlinear Heteroscedastic Models
logLik.nlreg
Compute the Log Likelihood for Nonlinear Heteroscedastic Models
metsulfuron
Metsulfuron Methyl Data
nlreg.profile.objects
Profile Objects for Nonlinear Heteroscedastic Models
obsInfo.nlreg
Observed Information Matrix for `nlreg' Objects
residuals.nlreg
Use residuals() on a `nlreg' object
nlreg
Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood
nlreg.contours.object
Contour Object for Nonlinear Heteroscedastic Models
fitted.nlreg
Use fitted() on a `nlreg' object
obsInfo
Returns the Observed Information Matrix --- Generic Function
param.nlreg
Use param() on a `nlreg' object
plot.nlreg.contours
Use plot() on a `nlreg.contours' object
param
Extract All Parameters from a Model --- Generic Function
helicopter
Helicopter 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
print.nlreg.profiles
Use print() on a `nlreg.profile' and `all.nlreg.profiles' object
profile.nlreg
Profile Method for `nlreg' Objects
nlreg.diag
Nonlinear Heteroscedastic Model Diagnostics
print.summary.nlreg
Use print() on a `summary.nlreg' object
print.summary.mpl
Use print() on a `summary.mpl' object
nlreg.object
Nonlinear Heteroscedastic Model Object
var2cor.nlregmpl
Use var2cor() on a `nlreg' and `mpl' object
summary.nlreg.profile
Summary Method for Objects of Class `nlreg.profile'
var2cor
Convert Covariance Matrix to Correlation Matrix --- Generic Function
print.nlreg
Use print() on a `nlreg' object
print.mpl
Use print() on a `mpl' object
summary.mpl
Summary Method for `mpl' Objects
summary.nlreg
Summary Method for Nonlinear Heteroscedastic Models
ria
Radioimmunoassay Data
summary.all.nlreg.profiles
Summary Method for Objects of Class `all.nlreg.profiles'
daphnia
`Daphnia Magna' Data
contour.all.nlreg.profiles
Contour Method for `nlreg' Objects
expInfo
Returns the Expected Information Matrix --- Generic Function
Dmean
Differentiate the Mean Function of a Nonlinear Model
chlorsulfuron
Chlorsulfuron Data
coef.nlreg
Use coef() on a `nlreg' object