Summary method for objects of class nmfre

Displays a concise summary of an NMF-RE model fit, including dimensions, convergence, variance components, and a coefficient table following standard R regression output conventions.

Usage

# S3 method for class 'nmfre'
summary(object, show_ci = FALSE, ...)

Arguments

object

An object of class nmfre, returned by nmfre.

show_ci

Logical. If TRUE, show confidence interval columns (default FALSE).

...

Additional arguments (currently unused).

Value

The input object, invisibly.

See also

nmfre, nmfre.inference

Examples

Y <- matrix(cars$dist, nrow = 1)
A <- rbind(intercept = 1, speed = cars$speed)
res <- nmfre(Y, A, rank = 1, maxit = 5000)
summary(res)
#> NMF-RE: Y(1,50) = X(1,1) [C(1,2) A + U(1,50)]
#> Iterations: 4 (converged, epsilon = 1e-05)
#> R-squared: 0.9047 (XB+blup), 0.6005 (XB)
#> 
#> Variance components:
#>   sigma2 = 1  (residual)
#>   tau2   = 1  (random effect)
#>   lambda = 1  (sigma2 / tau2)
#>   ICC    = 0.5000  (tau2*tr(X'X) / (tau2*tr(X'X) + sigma2*P))
#>   dfU    = 25.00 <= 30.00 (cap rate = 0.60)
#> 
#> Coefficients:
#>                   Estimate Std. Error (Boot) z value   Pr(>z) 
#> intercept:Basis1     0.014      6.427  3.254    0.00   0.4991  
#>     speed:Basis1     2.851      0.456  0.432    6.25 2.118e-10 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1