Summary method for objects of class nmfkc

Produces a summary of an nmfkc object, including matrix dimensions, runtime, fit statistics, and diagnostics.

Usage

# S3 method for class 'nmfkc'
summary(object, ...)

Arguments

object

An object of class nmfkc, i.e., the return value of nmfkc.

...

Additional arguments (currently unused).

Value

An object of class summary.nmfkc, containing summary statistics.

See also

nmfkc, nmfkc.inference, plot.nmfkc

Examples

Y <- matrix(cars$dist, nrow = 1)
A <- rbind(1, cars$speed)
result <- nmfkc(Y, A, rank = 1)
#> Y(1,50)~X(1,1)C(1,2)A(2,50)=XB(1,50)...
#> 0sec
summary(result)
#> 
#> Call:
#> nmfkc(Y = Y, A = A, rank = 1)
#> 
#> Dimensions: Y(1,50)~X(1,1)C(1,2)A(2,50)=XB(1,50) 
#> Rank (Q):    1 
#> Runtime:     0sec 
#> Method:      EU 
#> Iterations:  58 
#> Missing:     0 (0.0%) 
#> 
#> Statistics:
#>   Objective function:   12982 
#>   Multiple R-squared:   0.6511 
#>   Residual Std Error:   16.17 
#>   Mean Absolute Error:  12.71 
#>   ICp:                  5.559 
#> 
#> Structure Diagnostics:
#>   Basis (X) Sparsity:    0.0% (< 1e-4)
#>   Coef (B) Sparsity:     0.0% (< 1e-4)
#>   Clustering Entropy:    0 (range: 0-1, closer to 0 is better)
#>   Clustering Crispness:  1 (range: 0-1, closer to 1 is better)
#>