Description Usage Arguments Details Value References
hotelhd
is used to test two sample inference problem for high dimensional
data.
1 2 | hotelhd(X1, X2, method = c("H", "D", "BS", "CQ", "CLX", "Z", "M"),
alpha = 0.05, control = hotelhd_control(), ...)
|
X1,X2 |
matrix. n1(,n2) by p data matrix. Missing values (including NaN) will be omitted from the calculations. Data 'X1' and 'X2' only accept matrix as arguments to prevent confusion. All the methods implemented in this package assume continuous variables as inputs. |
method |
character. The method to be used. See 'Details'. |
alpha |
numeric. The type 1 error. |
control |
list. Control parameters returned by |
... |
additional arguments to be passed to |
Hotelling's T-squared test. Implemented for convenient comparisons with other methods. Users can find more sophisticated implementation of Hotelling's T-squared test in CRAN.
Dempster's (1958) non-exact test.
Bai and Saranadasa's (1996) test.
Chen and Qin's (2010) test.
Cai, Liu and Xia's (2014) test.
blockwise bootstrap. A new method considering time series. The paper for this method is under review.
generalized bootstrap. A new method combining sum-of-square and maximum type. The paper for this method is under review.
Test results.
Bai, Zhidong D and Saranadasa, Hewa. (1996). Effect of high dimension: by an example of a two sample problem. Statistica Sinica, 6(2), 311-329.
Cai, T. Tony and Liu, Weidong and Xia, Yin. (2014). Two-sample test of high dimensional means under dependence. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76(2), 349-372.
Chen, Song Xi and Qin, Ying-Li. (2010). A two-sample test for high-dimensional data with applications to gene-set testing. Annals of Statistics, 38(2), 808-835.
Dempster, A. P. (1958). A high dimensional two sample significance test. The Annals of Mathematical Statistics, 995-1010.
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