diag_baseline: Compare parametric baseline distributions with...
In icenReg: Regression Models for Interval Censored Data

Description Usage Arguments Details Author(s) Examples

Creates plots to diagnosis fit of different choices of parametric baseline model. Plots the semi paramtric model against different choices of parametric models.

diag_baseline(object, data, model = "ph", weights = NULL,
  dists = c("exponential", "weibull", "gamma", "lnorm", "loglogistic",
  "generalgamma"), cols = NULL, lgdLocation = "bottomleft",
  useMidCovars = T)

`object`	Either a formula or a model fit with `ic_sp` or `ic_par`
`data`	Data. Unnecessary if `object` is a fit
`model`	Type of model. Choices are `'ph'` or `'po'`
`weights`	Case weights
`dists`	Parametric baseline fits
`cols`	Colors of baseline distributions
`lgdLocation`	Where legend will be placed. See `?legend` for more details
`useMidCovars`	Should the distribution plotted be for covariates = mean values instead of 0

If useMidCovars = T, then the survival curves plotted are for fits with the mean covariate value, rather than 0. This is because often the baseline distribution (i.e. with all covariates = 0) will be far away from the majority of the data.

Clifford Anderson-Bergman

data(IR_diabetes)
fit <- ic_par(cbind(left, right) ~ gender, 
             data = IR_diabetes)

diag_baseline(fit, lgdLocation = "topright", 
             dist = c("exponential", "weibull", "loglogistic"))