Higher Order Likelihood Inference


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Documentation for package ‘hoa’ version 2.1.4.1

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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