k.tau: Kendall's tau a fitted joint model
In GJRM: Generalised Joint Regression Modelling
k.tau R Documentation
Kendall's tau a fitted joint model
Description
k.tau can be used to calculate the Kendall's tau from a fitted joint model with intervals obtained
via posterior simulation.
Usage
k.tau(x, prob.lev = 0.05)
Arguments
x
A fitted gjrm object as
produced by the respective fitting function.
prob.lev
Overall probability of the left and right tails of the probabilities' distributions used for interval calculations.
Details
This function calculates the Kendall's tau a fitted simultaneous model, with intervals
obtained via posterior simulation. Note that this is derived under the assumption of continuous margins.
Value
res
It returns the estimated tau with lower and upper interval limits.
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
See Also
GJRM-package, gjrm
GJRM documentation built on Oct. 25, 2024, 5:07 p.m.
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| k.tau | R Documentation |
Kendall's tau a fitted joint model
Description
k.tau can be used to calculate the Kendall's tau from a fitted joint model with intervals obtained
via posterior simulation.
Usage
k.tau(x, prob.lev = 0.05)
Arguments
x |
A fitted |
prob.lev |
Overall probability of the left and right tails of the probabilities' distributions used for interval calculations. |
Details
This function calculates the Kendall's tau a fitted simultaneous model, with intervals obtained via posterior simulation. Note that this is derived under the assumption of continuous margins.
Value
res |
It returns the estimated tau with lower and upper interval limits. |
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
See Also
GJRM-package, gjrm
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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