Implementation of robust and non-robust Standard Normal Homogeneity Test (SNHT) for changepoint detection. This test statistic is equal sided, as proposed in "Homogenization of Radiosonde Temperature Time Series Using Innovation Statistics" by Haimberger, L., 2007. However, the statistic contains an estimate of sigma^2 in the denominator instead of sigma, which seems to be a more appropriate value (based on the paper "Homogenization of Swedish temperature data. Part I: Homogeneity test for linear trends." by Alexandersson, H., and A. Moberg, 1997).
|Author||Josh Browning [aut, cre], Carina Schneider [aut]|
|Date of publication||2016-04-03 17:05:37|
|Maintainer||Josh Browning <firstname.lastname@example.org>|
createCandidateMatrix: Create candidate matrix
getPairs: Gets Pairs from Distances
getUniquePairs: Get Unique Pairs
pairwiseSNHT: Pairwise Standard Normal Homogeneity Test
plotSNHT: Plot SNHT
removeSeasonalPeriod: Remove Seasonal Period
robustSNHT: Robust SNHT
robustSNHTunequal: Robust SNHT with Unequal Times
snht: Standard Normal Homogeneity Test
snht-package: Robust and Non-Robust Standard Normal Homogeneity Test
unconfoundCandidateMatrix: Unconfound candidate matrix
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