density_g_model: The l_1 to l_4 derivative from the g-modeling method
In dulilun/EB: An Empirical Bayes Method for Chi-Squared Data
Description
Usage
Arguments
Value
View source: R/density_g_model.R
View source: R/core.R
Description
The l_1 to l_4 derivative from the g-modeling method
Usage
1
density_g_model(x, k, pi_0, lambda_set, g_prior)
Arguments
x
a sequence of chi-squared test statistics
k
degrees of freedom
pi_0
the proportion of the null
lambda_set
the set of noncentrality values
g_prior
the prior probability for the noncentrality values
Value
a list: the margianl density, and its first-to-fourth derivatives
dulilun/EB documentation built on May 30, 2021, 2:18 a.m.
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Description Usage Arguments Value
View source: R/density_g_model.R View source: R/core.R
Description
The l_1 to l_4 derivative from the g-modeling method
Usage
1 | density_g_model(x, k, pi_0, lambda_set, g_prior)
|
Arguments
x |
a sequence of chi-squared test statistics |
k |
degrees of freedom |
pi_0 |
the proportion of the null |
lambda_set |
the set of noncentrality values |
g_prior |
the prior probability for the noncentrality values |
Value
a list: the margianl density, and its first-to-fourth derivatives
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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