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 |