plotLC: Plots Logconcave Fit

In logconPH: CoxPH Model with Log Concave Baseline Distribution

Description

Plots the fit of a log concave object

Usage

  plotLC(fit, funtype = 'surv', covars = NA, ...)

Arguments

fit	A fit object returned from a call to logconcave
funtype	Type of function plotted. Choices are 'surv', 'pdf' or 'cdf'. If missing, 'surv' in default
covars	CoxPH covariates
...	Additional arguments to be passed to plot

Author(s)

Clifford Anderson-Bergman

Examples

  fit = logconcave(rnorm(500) )
  # Fits a log concave estimator to an uncensored sample
  
  plotLC(fit)      				
  # Plots the estimated survival distribution
  
  simData <- simPH_Censored()
  # Simulates current status data from a CoxPH model
  
  fit <- logconcave(simData$times, simData$x)
  # Fits coxPH model
  
  plotLC(fit, covars = c(0,0), funtype = 'cdf')
  # Plots the estimated baseline cdf
  
  linesLC(fit, covars = c(1,1), funtype = 'cdf', col = 'red')
  # Plots the estimates cdf with covariates c(1,1)

logconPH documentation built on May 29, 2017, 3:33 p.m.