validate.Rr: Validation of Liland distribution parameters.
In khliland/fixedTimeEvents: The Distribution of Distances Between Discrete Events in Fixed Time
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
Checks if parameters conform to R >= 2, r >= 2 and r <= R.
Usage
1
validate.Rr(R, r)
Arguments
R
number of Bernoulli trials.
r
number of successes.
Value
No return, only testing.
Author(s)
Kristian Hovde Liland
References
Liland, KH & Snipen, L, FixedTimeEvents: An R package for the distribution of
distances between discrete events in fixed time, SoftwareX 5 (2016).
See Also
Examples
1
2
3
4
5
6
validate.Rr(20,10)
## Not run:
# r>R results in an error.
validate.Rr(20,30)
## End(Not run)
khliland/fixedTimeEvents documentation built on Dec. 28, 2021, 12:02 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
Checks if parameters conform to R >= 2, r >= 2 and r <= R.
Usage
1 | validate.Rr(R, r)
|
Arguments
R |
number of Bernoulli trials. |
r |
number of successes. |
Value
No return, only testing.
Author(s)
Kristian Hovde Liland
References
Liland, KH & Snipen, L, FixedTimeEvents: An R package for the distribution of distances between discrete events in fixed time, SoftwareX 5 (2016).
See Also
Examples
1 2 3 4 5 6 | validate.Rr(20,10)
## Not run:
# r>R results in an error.
validate.Rr(20,30)
## End(Not run)
|
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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