pair.diff
(Package: ICSNP) :
Pairwise Differences
Computes pairwise differences.
● Data Source:
CranContrib
● Keywords: manip
● Alias: pair.diff
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hl.loc
(Package: ICSNP) :
Hodges - Lehmann Estimator of Location
Function to compute the Hodges - Lehmann estimator of location in the one sample case.
● Data Source:
CranContrib
● Keywords: nonparametric, robust, univar
● Alias: hl.loc
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pair.prod
(Package: ICSNP) :
Pairwise Products
Computes pairwise elementwise products.
● Data Source:
CranContrib
● Keywords: manip
● Alias: pair.prod
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pair.sum
(Package: ICSNP) :
Pairwise Sums
Computes pairwise sums.
● Data Source:
CranContrib
● Keywords: manip
● Alias: pair.sum
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rank.ctest
(Package: ICSNP) :
One, Two and C Sample Rank Tests for Location based on Marginal Ranks
Performs the one, two or c sample location test based on marginal ranks. Three different score functions are available.
● Data Source:
CranContrib
● Keywords: htest, multivariate, nonparametric
● Alias: rank.ctest, rank.ctest.default, rank.ctest.formula, rank.ctest.ics
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symm.huber
(Package: ICSNP) :
Symmetrized Huber Scatter Matrix
Iterative algorithm to estimate the symmetrized Huber scatter matrix.
● Data Source:
CranContrib
● Keywords: multivariate, robust
● Alias: symm.huber
●
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rank.ictest
(Package: ICSNP) :
One Sample Location Test based on Marginal Ranks in the Independent Component Model
marginal rank test for the location problem in the one sample case when the margins are assumed independent.
● Data Source:
CranContrib
● Keywords: htest, multivariate, nonparametric
● Alias: rank.ictest, rank.ictest.default, rank.ictest.ics
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Function to obtain the spatial signs of a multivariate dataset. The function can compute the spatial signs also with respect to a given or estimated loacation and scale. If both location and scale have to be estimated the HR.Mest function is used, if only one has to be estimated the, estimation is done using spatial.median or tyler.shape.
● Data Source:
CranContrib
● Keywords: multivariate, nonparametric
● Alias: spatial.sign
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ind.ictest
(Package: ICSNP) :
Test of Independence based on Marginal Ranks in a Symmetric IC Model
Performs the test that a group of variables is independent of an other based on marginal ranks. It is assumed that the data follows a symmetric IC model. Three different score functions are available.
● Data Source:
CranContrib
● Keywords: htest, multivariate, nonparametric
● Alias: ind.ictest
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This function implements the signed-rank location tests as suggested by Hallin and Paindaveine (2002a, 2002b).
● Data Source:
CranContrib
● Keywords: htest, multivariate, nonparametric
● Alias: HP.loc.test
●
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providing 
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