Last data update: 2014.03.03
Data Source
R Release (3.2.3)
CranContrib
BioConductor
All
Data Type
Packages
Functions
Images
Data set
Classification
Cran Task View
BiocViews
SMO (statistical methods ontology)
Results 1 - 10 of 13 found.
[1]
<
1
2
>
[2]
1
2
Sort:
-
Package Name ↑
Package Name ↓
Rd File Name ↑
Rd File Name ↓
Images
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
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
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
plots 3 variables on x,y,z axes and draws fitted plane
● Data Source:
CranContrib
● Keywords: aplot
● Alias: reg3d
●
0 images
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
Draws plots of influence measures based on the family.
● Data Source:
CranContrib
● Keywords: aplot
● Alias: influenceplots, influenceplots.formula, influenceplots.glm, influenceplots.lm
●
2 images
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
Plots for checking for unequal variances
● Data Source:
CranContrib
● Keywords: aplot
● Alias: funnel, funnel.formula, funnel.lm
●
2 images
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
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