Print the summary output

Usage

summary_dc(object, ...)

Arguments

object: an object of the class "dcensoring".
...: further arguments passed to or from other methods.

Value

a summary of the fitted model.

Examples

# \donttest{
fit <- dependent.censoring(formula = time ~ x1 | x3, data=KidneyMimic, delta_t=KidneyMimic$delta_t,
                          delta_c=KidneyMimic$delta_c, ident=KidneyMimic$ident, dist = "mep")
summary_dc(fit)
#> 
#> MEP approach
#> 
#> Name	 Estimate	 Std. Error	 CI INF 	 CI SUP	 	 p-value	 
#> Alpha	1.309234	0.6147124	-1.256865	3.875332	0.03319	
#> Sigma	0.4108953	0.1982387	0.000000	1.216250	
#> 
#> Coefficients T:
#> 
#> Name	 Estimate	 Std. Error	 CI INF 	 CI SUP	 	 p-value	 
#> 	0.04856939	0.02017417	0.009028015	0.08811076	0.01606	
#> 
#> Coefficients C:
#> 
#> Name	 Estimate	 Std. Error	 CI INF 	 CI SUP	 	 p-value	 
#> 	0.02585313	0.1739763	-0.3151404	0.3668467	0.8819	
#> 
#> ----------------------------------------------------------------------------------
#> 
#> Information criteria:
#> 
#> AIC	 BIC	  HQ	
#> 476.2146 552.0759 506.9145 
#> 
# }