Summarizing Bivariate Symbolic Regression Method Fits

summary method for class bivar.

# S3 method for bivar
summary(object, ...)

Arguments

object	an object of class "bivar", usually, a result of a call to bivar
…	other arguments.

Value

The function summary.bivar returns the following elements, given an object of the class "bivar",

Coefficients1

a named vector of coefficients for the explanatory variables of the model "1".

Coefficients2

a named vector of coefficients for the explanatory variables of the model "2".

RMSE1

root mean square error for the model "1".

RMSE2

root mean square error for the model "2".

Rho

the estimative for the correlation coefficient between Y1 and Y2.

Phi

the estimative of the dispersion parameter.

D

the goodness-of-fit measure deviance for the current model.

References

Lima Neto, E. A., Cordeiro, G. and De Carvalho, F.A.T. (2011). Bivariate symbolic regression models for interval-valued variables. Journal of Statistical Computation and Simulation (Print), 81, 1727--1744.

See also

bivar

Examples

##-- Continuing the  bivar() example:
data("soccer.bivar", package = "iRegression")
ex.bivar <- bivar(yMin~t1Min+t2Min, "identity", yMax~t1Max+t2Max, "identity", data=soccer.bivar)
ex.sum <- summary(ex.bivar)
ex.sum
#> Call:
#> bivar.formula(formula1 = yMin ~ t1Min + t2Min, lig1 = "identity", 
#>     formula2 = yMax ~ t1Max + t2Max, lig2 = "identity", data = soccer.bivar)
#> 
#> Coefficients1:
#>             [,1]
#> [1,] -46.2858437
#> [2,]   0.6322040
#> [3,]   0.1427709
#> 
#> Coefficients2:
#>             [,1]
#> [1,] -20.8118364
#> [2,]   0.5274485
#> [3,]   0.1569776
#> 
#> RMSE1:
#> [1] 2.241134
#> 
#> RMSE2:
#> [1] 2.575446
#> 
#> Rho:
#> [1] 0.376
#> 
#> Phi:
#> [1] 5.742479
#> 
#> D:
#> [1] 195.2443