EstimBradley {CompR} | R Documentation |
Estimation of Bradley's scores in the different classes of subjects
Description
Estimates Bradley's scores according the desired number of classes.
Usage
EstimBradley(Data, Constraint=0, Tcla=1, eps=1e-04, eps1=1e-04, TestPi=TRUE)
Arguments
Data |
Object of class DataPairComp
|
Constraint |
Kind of constraint on Bradley's scores. If Constraint=0 , the sum of Bradley's scores should be equal to 1.
For other values for Constraint , the product of Bradley's scores should be equal to 1.(default constraint=0 )
|
Tcla |
Number of classes, default=1, no segmentation.
|
eps |
value of the convergence criteria for the EM algorithm (default eps=1e-04 ).
|
eps1 |
value of the criteria convergence for Dykstra algorithm (default eps1=1e-04 ).
|
TestPi |
if TestPi=TRUE multiple comparison tests for Bradley's scores are performed. Else no multiple comparison test. (default is TestPi=TRUE )
|
Details
The estimation is based on maximum likelihood for mixture distributions with E.M. algorithm.
Value
Object of class BradleyEstim
with the following components:
Lvriter |
matrix describing the evolution of log likelihood at the different steps of the maximization procedure.
|
Lvr |
Final value of the log likelihood
|
Lambda |
numeric Final estimates of classes' weight
|
Pi |
list of Tcla elements containing Bradley'scores for the different criteria
|
Zh |
matrix of the belongings probabilities of the individuals to the different classes and the belonging class according to these probabilities
|
IC |
value of Information Criterion (AIC,BIC,CAIC)
|
Restestglob |
(given if TestPi=TRUE )
list of five elements:
lvrH0 matrix of size (Tcla * number of criteria), giving the value of the log likelihood under the hypothesis of equality of Bradley's scores
lvrH1 matrix of size (Tcla * number of criteria), giving the value of the log likelihood under the hypothesis of non equality of Bradley's scores
lRatio matrix of size (Tcla * number of criteria), giving the value of the log likelihood Ratio statistic
Pvalue matrix of size (Tcla * number of criteria), giving the P value of the log likelihood Ratio test
H1 matrix of size (Tcla * number of criteria) giving the result of rejection of equality of Bradley's scores
|
Restestprod |
(given if TestPi=TRUE and if Bradley's scores are not equal)
list of Tcla elements of type matrix of size (number of paired comparison * 7), each column corresponding to:
class identification,
criterion identification,
product identification i,
product identification j,
value for the statistic corresponding to H0: equality of the Bradley's scores of products i and j,
P value of this test,
Rejection or acceptation of H0 for a level of 5%.
|
Varcov |
(given if TestPi=TRUE )
list of Tcla elements containing Bradley'scores covariance matrices for the different criteria.
|
Examples
data(Cocktail)
show(Cocktail)
ResCock1<-EstimBradley(Cocktail,Constraint=0,Tcla=1,eps=0.001,eps1=0.001,TestPi=TRUE)
show(ResCock1)
[Package
CompR version 1.0
Index]