hoa

Six Herbicide Data Sets

Differentiate the Mean Function of a Nonlinear Model

Differentiate the Variance Function of a Nonlinear Model

Huber's Least Favourable Distribution

AIDS Symptoms and AZT Use Data

Airway Data

Support for function ‘profile.nlreg’

ANOVA Table for a RSM Object

Use anova() on a “rsmlist” object

Crying Babies Data

Chlorsulfuron Data

Use coef() on a ‘nlreg’ object

Approximate Conditional Inference - Generic Function

Approximate Conditional Inference for Logistic and Loglinear Models

Approximate Conditional Inference Object

Approximate Conditional Inference in Regression-Scale Models

Contour Method for ‘nlreg’ Objects

‘Daphnia Magna’ Data

Darwin's Data on Growth Rates of Plants

Dormicum Data

Returns the Expected Information Matrix — Generic Function

Expected Information Matrix for ‘nlreg’ Objects

Use family() on a “cond” object

Use family() on a “rsm” object

Family Object for Regression-Scale Models

Use family() on a “summary.cond” object

Use fitted() on a ‘nlreg’ object

Fraudulent Automobile Insurance Claims Data

Fungal Infections Treatment Data

Helicopter Data

Higher Order Likelihood Inference

House Price Data

Compute the Log Likelihood for Nonlinear Heteroscedastic Models

Compute the Log Likelihood for Regression-Scale Models

Support for RSM Family Functions

Approximate Marginal Inference Object

Metsulfuron Methyl Data

Maximum Adjusted Profile Likelihood Estimation — Generic Function

Maximum Adjusted Profile Likelihood Estimates for a ‘nlreg’ Object

Maximum Adjusted Profile Likelihood Object

Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood

Contour Object for Nonlinear Heteroscedastic Models

Nonlinear Heteroscedastic Model Diagnostics

Nonlinear Heteroscedastic Model Object

Profile Objects for Nonlinear Heteroscedastic Models

Nuclear Power Station Data

Returns the Observed Information Matrix — Generic Function

Observed Information Matrix for ‘nlreg’ Objects

Extract All Parameters from a Model — Generic Function

Use param() on a ‘nlreg’ object

Generate Plots for an Approximate Conditional Inference Object

Plot a fr Object

Generate Plots for an Approximate Marginal Inference Object

Use plot() on a ‘nlreg.contours’ object

Diagnostic Plots for Nonlinear Heteroscedastic Models

Use plot() on a ‘profile.nlreg’ and ‘all.profiles.nlreg’ object

Use print() on a “cond” object

Use print() on a “family.rsm” object

Use print() on a “marg” object

Use print() on a ‘mpl’ object

Use print() on a ‘nlreg’ object

Use print() on a ‘nlreg.contours’ object

Use print() on a ‘nlreg.profile’ and ‘all.nlreg.profiles’ object

Use print() on a “rsm” object

Use print() on a “summary.cond” object

Use print() on a “summary.marg” object

Use print() on a ‘summary.mpl’ object

Use print() on a ‘summary.nlreg’ object

Use print() on a ‘summary.nlreg.profile’ and ‘summary.all.nlreg.profiles’ object

Use print() on a “summary.rsm” object

Profile Method for ‘nlreg’ Objects

Support for ‘nlreg’ package of ‘hoa’ bundle

Rabbits Data

Use residuals() on a ‘nlreg’ object

Compute Residuals for Regression-Scale Models

Radioimmunoassay Data

Fit a Regression-Scale Model

Diagnostics for Regression-Scale Models

Diagnostic Plots for Regression-Scale Models

Support for Functions rsm.fit and rsm.surv

RSM Family Support Object

Generate a RSM Family Object

Fit a Regression-Scale Model Without Computing the Model Matrix

Fit an Empty Regression-Scale Model

Regression-Scale Model Object

Fit a Regression-Scale Model Without Computing the Model Matrix

Summary Method for Objects of Class ‘all.nlreg.profiles’

Summary Method for Objects of Class “cond”

Likelihood-Based Confidence Intervals Based on fr Object

Summary Method for Objects of Class “marg”

Summary Method for ‘mpl’ Objects

Summary Method for Nonlinear Heteroscedastic Models

Summary Method for Objects of Class ‘nlreg.profile’

Summary Method for Regression-Scale Models

Tangent exponential model: Higher Order Likelihood Approximation

Update and Re-fit a RSM Model Call

Urine Data

Convert Covariance Matrix to Correlation Matrix — Generic Function

Use var2cor() on a ‘nlreg’ and ‘mpl’ object

Calculate Variance-Covariance Matrix for a Fitted RSM Model

Sea Level Data