GammaFunction: Gamma Function for Calculating the Similarity Score

In jgillam13/IRASD: What the Package Does (One Line, Title Case)

Description

Gamma Function for Calculating the Similarity Score

Usage

GammaFunction(seqlist, allsqs, sqsindex, catvec, beta, lam)

Arguments

seqlist	List of sequences separated by time window.
allsqs	Matrix containing all the possible SQS for this sequence's elements.
sqsindex	Index Matrix indicating which sequences have which SQS's.
catvec	Vector of the different categories found in the sequences.
beta	Score parameter. See below for conditions.
lam	Score parameter. See below for conditions.

Details

Ensure lam(k-1)k/2<beta to comply with the method constraints.

Value

Matrix of similarity scores for different sequences based on the final sequence in the list.

Examples

df<-data.frame(Time=c("2020-01-01 00:10:09", "2020-01-01 01:12:34" , "2020-01-02 06:38:09",
"2020-01-02 07:21:51"),Cat=c('A','B','A','C'))
#For daily data:
seqlist<-SeqList(df,'%Y-%m-%d')
sqslist<-SQSList(seqlist,2)
allsqs<-AllSQS(c('A','B','C'),2)
sqsindex<-SQSIndex(allsqs,sqslist)
GammaFunction(seqlist,allsqs,sqsindex,c('A','B','C'),1,0.5)

jgillam13/IRASD documentation built on Feb. 10, 2021, 9:38 a.m.