infer_surface {Infusion} | R Documentation |
Infer a (summary) likelihood or tail probability surface from inferred likelihoods
Description
These functions are either for the primitive workflow or experimental. For standard use of Infusion see instead the functions used in the up-to-date workflow (example_reftable
)
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
## 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 the fit object returned by fitme
, and additional members not documented here.
Examples
## see main documentation page for the package