aids | AIDS Symptoms and AZT Use Data |
airway | Airway Data |
all.profiles.nlreg | Support for function 'profile.nlreg' |
anova.rsm | ANOVA Table for a RSM Object |
anova.rsmlist | Use anova() on a "rsmlist" object |
babies | Crying Babies Data |
C1 | Six Herbicide Data Sets |
chlorsulfuron | Chlorsulfuron Data |
coef.nlreg | Use coef() on a 'nlreg' object |
cond | Approximate Conditional Inference - Generic Function |
cond.glm | Approximate Conditional Inference for Logistic and Loglinear... |
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 |
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 |
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 |
fitted.nlreg | Use fitted() on a 'nlreg' object |
fraudulent | Fraudulent Automobile Insurance Claims Data |
fungal | Fungal Infections Treatment Data |
helicopter | Helicopter Data |
hoa | Higher Order Likelihood Inference |
houses | House Price Data |
Huber | Huber's Least Favourable Distribution |
logLik.nlreg | Compute the Log Likelihood for Nonlinear Heteroscedastic... |
logLik.rsm | Compute the Log Likelihood for Regression-Scale Models |
make.family.rsm | Support for RSM Family Functions |
marg.object | Approximate Marginal Inference Object |
metsulfuron | Metsulfuron Methyl Data |
mpl | Maximum Adjusted Profile Likelihood Estimation - Generic... |
mpl.nlreg | Maximum Adjusted Profile Likelihood Estimates for a 'nlreg'... |
mpl.object | Maximum Adjusted Profile Likelihood Object |
nlreg | Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood |
nlreg.contours.object | Contour Object for Nonlinear Heteroscedastic Models |
nlreg.diag | Nonlinear Heteroscedastic Model Diagnostics |
nlreg.object | Nonlinear Heteroscedastic Model Object |
nlreg.profile.objects | Profile Objects for Nonlinear Heteroscedastic Models |
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 |
param.nlreg | Use param() on a 'nlreg' object |
plot.cond | Generate Plots for an Approximate Conditional Inference... |
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.profiles | Use plot() on a 'profile.nlreg' and 'all.profiles.nlreg'... |
print.cond | Use print() on a "cond" object |
print.family.rsm | Use print() on a "family.rsm" object |
print.marg | Use print() on a "marg" object |
print.mpl | Use print() on a 'mpl' object |
print.nlreg | Use print() on a 'nlreg' object |
print.nlreg.contours | Use print() on a 'nlreg.contours' object |
print.nlreg.profiles | Use print() on a 'nlreg.profile' and 'all.nlreg.profiles'... |
print.rsm | Use print() on a "rsm" object |
print.summary.cond | Use print() on a "summary.cond" object |
print.summary.marg | Use print() on a "summary.marg" object |
print.summary.mpl | Use print() on a 'summary.mpl' object |
print.summary.nlreg | Use print() on a 'summary.nlreg' object |
print.summary.nlreg.profiles | Use print() on a 'summary.nlreg.profile' and... |
print.summary.rsm | Use print() on a "summary.rsm" object |
profile.nlreg | Profile Method for 'nlreg' Objects |
qStheta | Support for 'nlreg' package of 'hoa' bundle |
rabbits | Rabbits Data |
residuals.nlreg | Use residuals() on a 'nlreg' object |
residuals.rsm | Compute Residuals for Regression-Scale Models |
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.dispersion | Support for Functions rsm.fit and rsm.surv |
rsm.distributions | RSM Family Support Object |
rsm.families | Generate a RSM Family Object |
rsm.fit | Fit a Regression-Scale Model Without Computing the Model... |
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... |
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... |
update.rsm | Update and Re-fit a RSM Model Call |
urine | Urine Data |
var2cor | Convert Covariance Matrix to Correlation Matrix - Generic... |
var2cor.nlregmpl | Use var2cor() on a 'nlreg' and 'mpl' object |
vcov.rsm | Calculate Variance-Covariance Matrix for a Fitted RSM Model |
venice | Sea Level Data |
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