# Fit posterior marginal distributions to points

### Description

Compute (and re-scale, if necessary) the marginal from a set of
points `x`

and values of log-likelihood `logy`

and
log-prior density `logp`

.

### Usage

1 |

### Arguments

`x` |
Values of the random variable. |

`logy` |
Log-likelihood. |

`logp` |
Log-prior density. |

`usenormal` |
Whether use a Normal distribution for the fitted marginal. |

### Details

Fits a marginal at a set of points `x`

from their log-likelihood
and log-prior. The fitted marginal is re-scaled to integrate one if
necessary. If `usenormal=TRUE`

then the fitted marginal is supposed
to be Normal, which is computed using the posterior mean and standard
deviation of `x`

.

### Value

A function with the fitted marginal is returned.

### Author(s)

Virgilio G<f3>mez-Rubio <virgilio.gomez@uclm.es>

### See Also

`fitmargBMA`

, `fitmargBMA2`

,`mysplinefun`

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