diag_lin: Diagnostics for the linear functional form and the link...
In crskdiag: Diagnostics for Fine and Gray Model

Description Usage Arguments Details Value Author(s) References See Also

View source: R/diag_lin.R

Checks the linear functional form and the log-log link function assumptions of the Fine and Gray model. For internal use only.

1	diag_lin(t, ic, z, n.total, Nit, n.sim, n.plot, seed, minor_included)

`t`	a vector of observed times.
`ic`	a vector of cause indicators.
`z`	a matrix of covariates for fitting the model.
`n.total`	total number of samples
`Nit`	number of iterations for model estimation. Default is 20.
`n.sim`	number of iterations in the analytical diagnostics. Default is 1000.
`n.plot`	number of plots of simulated processes used in the graphical diagnostics. Default is 10.
`seed`	a seed used in generating the simulated processes.
`minor_included`	include the minor term in FG model if TRUE. Default is TRUE.

More details can be found in Li, Scheike and Zhang (2015).

a "diaglin" class object.

Jianing Li

Li, Jianing, Thomas H. Scheike, and Mei-Jie Zhang. "Checking Fine and Gray subdistribution hazards model with cumulative sums of residuals." Lifetime data analysis 21.2 (2015): 197-217.

diag_crr, plot.diaglin, print.diaglin

crskdiag documentation built on May 1, 2019, 10:53 p.m.