# Higher Order Likelihood Inference

## Documentation for package ‘hoa’ version 2.1.4.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

aids | AIDS Symptoms and AZT Use Data
airway | Airway Data
babies | Crying Babies Data
C1 | Six Herbicide Data Sets
C2 | Six Herbicide Data Sets
C3 | Six Herbicide Data Sets
C4 | Six Herbicide Data Sets
chlorsulfuron | Chlorsulfuron Data
cond | Approximate Conditional Inference - Generic Function
cond.glm | Approximate Conditional Inference for Logistic and Loglinear Models
cond.object | Approximate Conditional Inference Object
cond.rsm | Approximate Conditional Inference in Regression-Scale Models
contour.all.nlreg.profiles | Contour Method for 'nlreg' Objects
daphnia | 'Daphnia Magna' Data
darwin | Darwin's Data on Growth Rates of Plants
dHuber | Huber's Least Favourable Distribution
Dmean | Differentiate the Mean Function of a Nonlinear Model
dormicum | Dormicum Data
Dvar | Differentiate the Variance Function of a Nonlinear Model
expInfo | Returns the Expected Information Matrix - Generic Function
expInfo.nlreg | Expected Information Matrix for 'nlreg' Objects
extreme | Generate a RSM Family Object
family.cond | Use family() on a "cond" object
family.rsm | Use family() on a "rsm" object
family.rsm.object | Family Object for Regression-Scale Models
family.summary.cond | Use family() on a "summary.cond" object
fraser.reid | Tangent exponential model: Higher Order Likelihood Approximation
fraudulent | Fraudulent Automobile Insurance Claims Data
fungal | Fungal Infections Treatment Data
helicopter | Helicopter Data
hoa | Higher Order Likelihood Inference
houses | House Price Data
Huber | Generate a RSM Family Object
lik.ci | Likelihood-Based Confidence Intervals Based on fr Object
logistic | Generate a RSM Family Object
logLik.nlreg | Compute the Log Likelihood for Nonlinear Heteroscedastic Models
logLik.rsm | Compute the Log Likelihood for Regression-Scale Models
logWeibull | Generate a RSM Family Object
M2 | Six Herbicide Data Sets
M4 | Six Herbicide Data Sets
marg.object | Approximate Marginal Inference Object
metsulfuron | Metsulfuron Methyl Data
mpl | Maximum Adjusted Profile Likelihood Estimation - Generic Function
mpl.nlreg | Maximum Adjusted Profile Likelihood Estimates for a 'nlreg' Object
mpl.object | Maximum Adjusted Profile Likelihood Object
nlreg | Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood
nlreg.diag | Nonlinear Heteroscedastic Model Diagnostics
nlreg.diag.plots | Diagnostic Plots for Nonlinear Heteroscedastic Models
nlreg.object | Nonlinear Heteroscedastic Model Object
nuclear | Nuclear Power Station Data
obsInfo | Returns the Observed Information Matrix - Generic Function
obsInfo.nlreg | Observed Information Matrix for 'nlreg' Objects
param | Extract All Parameters from a Model - Generic Function
pHuber | Huber's Least Favourable Distribution
plot.all.nlreg.profiles | Use plot() on a 'profile.nlreg' and 'all.profiles.nlreg' object
plot.cond | Generate Plots for an Approximate Conditional Inference Object
plot.fr | Plot a fr Object
plot.marg | Generate Plots for an Approximate Marginal Inference Object
plot.nlreg.contours | Use plot() on a 'nlreg.contours' object
plot.nlreg.diag | Diagnostic Plots for Nonlinear Heteroscedastic Models
plot.nlreg.profile | Use plot() on a 'profile.nlreg' and 'all.profiles.nlreg' object
plot.rsm | Diagnostic Plots for Regression-Scale Models
print.summary.cond | Use print() on a "summary.cond" object
print.summary.marg | Use print() on a "summary.marg" object
profile.nlreg | Profile Method for 'nlreg' Objects
qHuber | Huber's Least Favourable Distribution
rabbits | Rabbits Data
residuals.rsm | Compute Residuals for Regression-Scale Models
rHuber | Huber's Least Favourable Distribution
ria | Radioimmunoassay Data
rsm | Fit a Regression-Scale Model
rsm.diag | Diagnostics for Regression-Scale Models
rsm.diag.plots | Diagnostic Plots for Regression-Scale Models
rsm.families | Generate a RSM Family Object
rsm.fit | Fit a Regression-Scale Model Without Computing the Model Matrix
rsm.null | Fit an Empty Regression-Scale Model
rsm.object | Regression-Scale Model Object
rsm.surv | Fit a Regression-Scale Model Without Computing the Model Matrix
student | Generate a RSM Family Object
summary.all.nlreg.profiles | Summary Method for Objects of Class 'all.nlreg.profiles'
summary.cond | Summary Method for Objects of Class "cond"
summary.fr | Likelihood-Based Confidence Intervals Based on fr Object
summary.marg | Summary Method for Objects of Class "marg"
summary.mpl | Summary Method for 'mpl' Objects
summary.nlreg | Summary Method for Nonlinear Heteroscedastic Models
summary.nlreg.profile | Summary Method for Objects of Class 'nlreg.profile'
summary.rsm | Summary Method for Regression-Scale Models
tem | Tangent exponential model: Higher Order Likelihood Approximation
update.rsm | Update and Re-fit a RSM Model Call
urine | Urine Data
var2cor | Convert Covariance Matrix to Correlation Matrix - Generic Function
vcov.rsm | Calculate Variance-Covariance Matrix for a Fitted RSM Model
venice | Sea Level Data