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Summary methods

Source: R/AllGenerics.R, R/summary-methods.R
summary.Rd

Provides summary methods for objects.

Usage

# S4 method for EL
summary(object, ...)

# S4 method for ELMT
summary(object, ...)

# S4 method for ELT
summary(object, ...)

# S4 method for GLM
summary(object, ...)

# S4 method for LM
summary(object, ...)

# S4 method for QGLM
summary(object, ...)

Arguments

object

An object for which a summary is desired.

...

Further arguments passed to methods.

Value

The form of the value returned by summary() depends on the class of its argument.

Methods (by class)

  • summary(EL): Summarizes the test results of the specified parameters.

  • summary(ELMT): Summarizes the multiple testing results.

  • summary(ELT): Summarizes the hypothesis test results.

  • summary(GLM): Summarizes the results of the overall model test and the significance tests for coefficients. The dispersion parameter is extracted for display.

  • summary(LM): Summarizes the results of the overall model test and the significance tests for coefficients.

  • summary(QGLM): Summarizes the results of the overall model test and the significance tests for coefficients. The estimated dispersion parameter is extracted for display.

See also

EL, ELMT, ELT, GLM, LM, QGLM,

Examples

data("faithful")
fit <- el_mean(faithful, par = c(3.5, 70))
summary(fit)
#> 
#> 	Empirical Likelihood
#> 
#> Model: mean 
#> 
#> Number of observations: 272 
#> Number of parameters: 2 
#> 
#> Parameter values under the null hypothesis:
#> eruptions   waiting 
#>       3.5      70.0 
#> 
#> Lagrange multipliers:
#> [1] -0.33537  0.03043
#> 
#> Maximum EL estimates:
#> eruptions   waiting 
#>     3.488    70.897 
#> 
#> logL: -1529, logLR: -4.241 
#> Chisq: 8.483, df: 2, Pr(>Chisq): 0.01439
#> EL evaluation: converged 
#> 

data("mtcars")
fit2 <- el_lm(mpg ~ wt, data = mtcars)
summary(fit2)
#> 
#> 	Empirical Likelihood
#> 
#> Model: lm 
#> 
#> Call:
#> el_lm(formula = mpg ~ wt, data = mtcars)
#> 
#> Number of observations: 32 
#> Number of parameters: 2 
#> 
#> Parameter values under the null hypothesis:
#> (Intercept)          wt 
#>       37.29        0.00 
#> 
#> Lagrange multipliers:
#> [1] -109.51   14.62
#> 
#> Maximum EL estimates:
#> (Intercept)          wt 
#>      37.285      -5.344 
#> 
#> logL: -330.4 , logLR: -219.5 
#> Chisq: 439.1, df: 1, Pr(>Chisq): < 2.2e-16
#> Constrained EL: initialization failed 
#> 
#> Coefficients:
#>             Estimate Chisq Pr(>Chisq)    
#> (Intercept)   37.285 443.3     <2e-16 ***
#> wt            -5.344 439.1     <2e-16 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>