expPIT: Compute probability inverse transform values for Exponential...
In gofedf: Goodness of Fit Tests Based on Empirical Distribution Functions
expPIT R Documentation
Compute probability inverse transform values for Exponential dist.
Description
Compute probability inverse transform values for Exponential dist.
Usage
expPIT(x, theta)
Arguments
x
a numeric vector of length n
theta
a numeric vector of length one, containing MLE rate in Exponential dist.
Value
a vector of length n containing the probability inverse transformed (PIT) values
gofedf documentation built on Oct. 1, 2023, 5:08 p.m.
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| expPIT | R Documentation |
Compute probability inverse transform values for Exponential dist.
Description
Compute probability inverse transform values for Exponential dist.
Usage
expPIT(x, theta)
Arguments
x |
a numeric vector of length n |
theta |
a numeric vector of length one, containing MLE rate in Exponential dist. |
Value
a vector of length n containing the probability inverse transformed (PIT) values
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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