spaMM (version 2.0.0)

summary.HLfit:

Description

Summary and print methods for results from HLfit or related functions.

Usage

# S3 method for HLfit
summary(object, details=FALSE, ...)
# S3 method for HLfitlist
summary(object, ...)
# S3 method for fixedLRT
summary(object, verbose=TRUE, ...)
# S3 method for HLfit
print(x,...)
# S3 method for HLfitlist
print(x,...)
# S3 method for fixedLRT
print(x,...)

Arguments

object

The return object of HLfit or related functions.

x

The return object of HLfit or related functions.

verbose

for summary.fixedLRT, whether to print the model fits or not.

details

whether to print some obscure details. Currently affects only random-coefficients models (see Details).

…

further arguments passed to or from other methods.

Value

These methods return the object invisibly. They print details of the (lower level) HLfit results in a convenient form.

Details

The random effect terms of the linear predictor are of the form ZLv. In particular, for random-coefficients models (i.e., including random-effect terms such as (z|group) specifying a random-slope component), correlated random effectsare represented as b = Lv for some matrix L, and where the elements of v are uncorrelated. In the output of the fit, the Var. column gives the variances of the correlated effects, b=Lv. The Corr. column(s) give their correlation(s). If details is TRUE, estimates and SEs of the (log) variances of the elements of v are reported as for other random effects in the Estimate and cond.SE. columns of the table of lambda coefficients. However, this non-default output is potentially misleading as the elements of v cannot generally be assigned to specific terms (such as intercept and slope) of the random-effect formula, and the representation of b as Lv is not unique.

Examples

## see examples of corrHLfit usage