F_Z_asym: Marginal CDF for Zeta Under Asymmetric Exponential Assumption
In matthew-seth-smith/replicateOutliers: Outlier Detection Methods for Replicated Data
Description
Usage
Arguments
Value
View source: R/Helper_Functions.R
Description
This function is the marginal CDF of Zeta assuming the underlying data X_1 and X_2 follow independent exponential distributions with different parameters.
Usage
1
F_Z_asym(z, lam_1, lam_2)
Arguments
z
The coefficient of variation (CV) between two replicates
lam_1
The (positive) parameter for the first replicate's exponential distribution
lam_2
The (positive) parameter for the second replicate's exponential distribution
Value
The marginal probability of observing Zeta <= z
matthew-seth-smith/replicateOutliers documentation built on Jan. 24, 2020, 9:34 p.m.
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Description Usage Arguments Value
View source: R/Helper_Functions.R
Description
This function is the marginal CDF of Zeta assuming the underlying data X_1 and X_2 follow independent exponential distributions with different parameters.
Usage
1 | F_Z_asym(z, lam_1, lam_2)
|
Arguments
z |
The coefficient of variation (CV) between two replicates |
lam_1 |
The (positive) parameter for the first replicate's exponential distribution |
lam_2 |
The (positive) parameter for the second replicate's exponential distribution |
Value
The marginal probability of observing Zeta <= z
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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