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Plots the observed and simulated cumulative sums of residuals in testing the proportionality assumption for the fitted Fine and Gray model.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.diagprop
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Checks the proportionality assumptions of the Fine and Gray model. For internal use only.
● Data Source:
CranContrib
● Keywords:
● Alias: diag_prop
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Plots the observed and simulated cumulative sums of residuals in testing linear functional form for each covariate and link function for the fitted Fine and Gray model.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.diaglin
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Prints the p-values of testing proportionality of the subdistribution hazards for each covariate and the p-value of overall proportionality.
● Data Source:
CranContrib
● Keywords:
● Alias: print.diagprop
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Prints the p-values of testing linear functional form for each covariate and the p-value of testing link function.
● Data Source:
CranContrib
● Keywords:
● Alias: print.diaglin
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Combines observed time and cause indicator to be a competing risks object. For internal use only.
● Data Source:
CranContrib
● Keywords:
● Alias: Crsk
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Checks the linear functional form and the log-log link function assumptions of the Fine and Gray model. For internal use only.
● Data Source:
CranContrib
● Keywords:
● Alias: diag_lin
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Provides with a class of analytical methods and graphical approaches for checking the assumptions of the Fine and Gray subdistribution hazards model based on the cumulative sums of residuals. It validates the model in three aspects: proportionality of hazard ratio, the linear functional form, and the link function.
● Data Source:
CranContrib
● Keywords: diagnostics, linear functional form, link function, proportionality, subdistribution
● Alias: diag_crr
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providing 
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