mdd.t_test: An MDD-based t-Test of Mean Independence
In estsyawo/bayesprdopt: Useful Functions and Algorithms
mdd.t_test R Documentation
An MDD-based t-Test of Mean Independence
Description
mdd.t_test tests the mean independence of Y conditional on Z using a two-sided
t-test.
Usage
mdd.t_test(Y, Z)
Arguments
Y
univariate variable
Z
possibly multivariate variable
Value
t-statistic, standard error, and p-value of test
Examples
set.seed(12); X = rnorm(200)
mdd.t_test(X,abs(X)); mdd.t_test(abs(X),X)
estsyawo/bayesprdopt documentation built on April 2, 2024, 2:18 p.m.
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| mdd.t_test | R Documentation |
An MDD-based t-Test of Mean Independence
Description
mdd.t_test tests the mean independence of Y conditional on Z using a two-sided
t-test.
Usage
mdd.t_test(Y, Z)
Arguments
Y |
univariate variable |
Z |
possibly multivariate variable |
Value
t-statistic, standard error, and p-value of test
Examples
set.seed(12); X = rnorm(200)
mdd.t_test(X,abs(X)); mdd.t_test(abs(X),X)
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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