Last data update: 2014.03.03

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CranContrib
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Results 1 - 10 of 13 found.
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WB.test (Package: R330) :

Calulates and prints a chi^2 statistic and a p-value for the Weisberg-Bingham test. The p-value is calculated by simulation.
● Data Source: CranContrib
● Keywords: univar
● Alias: WB.test, WB.test.formula, WB.test.lm
● 0 images

test.lc (Package: R330) :

Given a linear model with coefficient vector b tests the linear hypothesis cc^Tb=c
● Data Source: CranContrib
● Keywords: univar
● Alias: test.lc, test.lc.formula, test.lc.glm, test.lc.lm
● 0 images

ROC.curve (Package: R330) :

Draws an ROC curve and calculates the area under the curve
● Data Source: CranContrib
● Keywords: aplot
● Alias: ROC.curve, ROC.curve.formula, ROC.curve.glm
1 images

reg3d (Package: R330) :

plots 3 variables on x,y,z axes and draws fitted plane
● Data Source: CranContrib
● Keywords: aplot
● Alias: reg3d
● 0 images

R330-package (Package: R330) :

Contains useful functions and data for the Stats 330 course at the University of Auckland
● Data Source: CranContrib
● Keywords: package
● Alias: R330, R330-package
● 0 images

influenceplots (Package: R330) :

Draws plots of influence measures based on the family.
● Data Source: CranContrib
● Keywords: aplot
● Alias: influenceplots, influenceplots.formula, influenceplots.glm, influenceplots.lm
2 images

HLstat (Package: R330) :

Calculates and prints a chi^2 statistic and a p-value for the Hosmer-Lemeshow test.
● Data Source: CranContrib
● Keywords: htest
● Alias: HLstat, HLstat.formula, HLstat.glm
● 0 images

funnel (Package: R330) :

Plots for checking for unequal variances
● Data Source: CranContrib
● Keywords: aplot
● Alias: funnel, funnel.formula, funnel.lm
2 images

err.boot (Package: R330) :

Calculates the training set prediction error and a bootstrap estimate of prediction error for the model in specified by a formula, lm object or glm object
● Data Source: CranContrib
● Keywords: attribute
● Alias: err.boot, err.boot.formula, err.boot.glm, err.boot.lm
● 0 images

cross.val (Package: R330) :

For a logistic model, calculates cross-validated estimates of specificity, sensitivity and percentage correctly classified. For a Gaussian model, calculates a cross-validated estimate of prediction error.
● Data Source: CranContrib
● Keywords: attribute
● Alias: cross.val, cross.val.formula, cross.val.glm, cross.val.lm
● 0 images