gwr.t.adjust: Adjust p-values for multiple hypothesis tests in basic GWR
In GWmodel: Geographically-Weighted Models
gwr.t.adjust R Documentation
Adjust p-values for multiple hypothesis tests in basic GWR
Description
Given a set of p-values from the pseudo t-tests of basic GWR outputs, this function returns adjusted p-values using:
(a) Bonferroni, (b) Benjamini-Hochberg, (c) Benjamini-Yekutieli and
(d) Fotheringham-Byrne procedures.
Usage
gwr.t.adjust(gwm.Obj)
Arguments
gwm.Obj
an object of class “gwrm”, returned by the function gwr.basic
Author(s)
Binbin Lu binbinlu@whu.edu.cn
References
Byrne, G., Charlton, M. and Fotheringham, S., 2009. Multiple dependent hypothesis tests
in geographically weighted regression. In: Lees, B. and Laffan, S. eds. 10th
International conference on geocomputation. Sydney.
GWmodel documentation built on July 9, 2023, 5:52 p.m.
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| gwr.t.adjust | R Documentation |
Adjust p-values for multiple hypothesis tests in basic GWR
Description
Given a set of p-values from the pseudo t-tests of basic GWR outputs, this function returns adjusted p-values using: (a) Bonferroni, (b) Benjamini-Hochberg, (c) Benjamini-Yekutieli and (d) Fotheringham-Byrne procedures.
Usage
gwr.t.adjust(gwm.Obj)
Arguments
gwm.Obj |
an object of class “gwrm”, returned by the function gwr.basic |
Author(s)
Binbin Lu binbinlu@whu.edu.cn
References
Byrne, G., Charlton, M. and Fotheringham, S., 2009. Multiple dependent hypothesis tests in geographically weighted regression. In: Lees, B. and Laffan, S. eds. 10th International conference on geocomputation. Sydney.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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