# MLB

From betafunctions v1.4.0
by Haakon Haakstad

##### Most Likely True Beta Value Given Observed Outcome.

Assuming a prior standard (two-parameter) Beta Distribution, return the beta shape-parameter value where the observed mean becomes the mode.

##### Usage

`MLB(alpha, beta, x = NULL, n = NULL)`

##### Arguments

- alpha
Observed alpha-parameter value for fitted Standard Beta PDD.

- beta
Observed beta-parameter value for fitted Standard Beta PDD.

- x
Observed proportion-correct outcome.

- n
Test-length.

##### Value

The Beta shape-parameter value for the Standard Beta probability density distribution where the observed mean is the expected mode.

##### Examples

```
# NOT RUN {
# Assuming a prior Standard (two-parameter) Beta distribution is fit, which
# yield an alpha parameter of 10 and a beta parameter of 8, calculate the
# true-beta parameter most likely to have produced the observations:
MLB(a = 10, b = 8)
# }
```

*Documentation reproduced from package betafunctions, version 1.4.0, License: CC0*

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