DensEst: Multiple Hypothesis Test using KDE: Finding the p-values.

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

Description

Multiple Hypothesis Test using KDE: Finding the p-values.

Usage

DensEst(ScoreTables, percentpwr, bndwidth, kern)

Arguments

ScoreTables	Table of scores for each new sequence. Must be in list format.
percentpwr	Significance level.
bndwidth	Bandwidth for the KDE.
kern	Kernel of choice for the KDE.

Value

P-values for the multiple hypothesis test.

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'))
newdf<-data.frame(Time=c("2020-01-03 01:30:20", "2020-01-03 04:19:14" , "2020-01-03 06:51:29"),
Cat=c('A','B','A'))
#For daily data:
seqlist<-SeqList(df,'%Y-%m-%d')
sqslist<-SQSList(seqlist,2)
newseqlist<-SeqList(newdf,'%Y-%m-%d')
newsqslist<-SQSList(newseqlist,2)
allsqs<-AllSQS(c('A','B','C'),2)
sqsindex<-SQSIndex(allsqs,sqslist)
newsqsindex<-SQSIndex(allsqs,newsqslist)
regseqscore<-RegSeqScore(seqlist,allsqs,sqsindex,c('A','B','C'),c(0.5,0.25,0.25),2,1,0.5)
ScoreTables<-ScoreTable(regseqscore, newseqlist[[1]], seqlist, allsqs, newsqsindex, sqsindex,
c('A','B','C'),c(0.5,0.25,0.25), 2, 1, 0.5)
DensEst(list(ScoreTables),0.05,'nrd0','gaussian')

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