# Infer a (summary) likelihood or tail probability surface from inferred likelihoods

### Description

The `logLs`

method uses a standard smoothing method (prediction under linear mixed models, a.k.a. Kriging) to infer a likelihood surface, using as input likelihood values themselves inferred with some error for different parameter values. The `tailp`

method use a similar approach for smoothing binomial response data, using the algorithms implemented in the spaMM package for fitting GLMMs with autocorrelated random effects.

### Usage

1 2 3 4 | ```
## S3 method for class 'logLs'
infer_surface(object, method="REML",verbose=interactive(),allFix=NULL,...)
## S3 method for class 'tailp'
infer_surface(object, method="PQL",verbose=interactive(),allFix,...)
``` |

### Arguments

`object` |
A data frame with attributes, containing independent prediction of logL or of LR tail probabilities for different parameter points, as produced by |

`method` |
methods used to estimate the smoothing parameters. If |

`verbose` |
Whether to display some information about progress or not. |

`allFix` |
Fixed values in the estimation of smoothing parameters. For development purposes, not for routine use. For |

`...` |
further arguments passed to or from other methods (currently not used). |

### Value

An object of class `SLik`

or `SLikp`

, which is a list including an `HLfit`

object as returned by `corrHLfit`

, and additional members not documented here.

### Examples

1 | ```
## see main documentation page for the package
``` |