diag_baseline: Compare parametric baseline distributions with...

In icenReg: Regression Models for Interval Censored Data

Compare parametric baseline distributions with semi-parametric baseline

Description

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

Usage

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

Arguments

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

Details

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.

Author(s)

Clifford Anderson-Bergman

Examples

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

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

icenReg documentation built on May 29, 2024, 5:32 a.m.