mle: Computes success rate using Maximum Liklihood estimate
In darrellpenta/uxstats: Common data analysis tools for UX researchers
Description
Usage
Arguments
Value
See Also
Description
Computes success rate using Maximum Liklihood estimate
Usage
1
mle(.success, .trials)
Arguments
.success
the total number of successes
.trials
the total number of trials
Value
an estimated success rate (
See Also
Other point estimate adjusters:
laplace(),
wilson()
darrellpenta/uxstats documentation built on Jan. 18, 2022, 8:06 p.m.
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Description Usage Arguments Value See Also
Description
Computes success rate using Maximum Liklihood estimate
Usage
1 | mle(.success, .trials)
|
Arguments
.success |
the total number of successes |
.trials |
the total number of trials |
Value
an estimated success rate (
See Also
Other point estimate adjusters:
laplace(),
wilson()
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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