logconPH (version 1.5)

qLC: Quantiles estimates from a log concave fit

Description

Returns the the estimated probability from a log concave fit

Usage

qLC(p, fit, covars)

Arguments

p

A vector of numeric values for which the estimated quantiles will be calculated

fit

Log concave fit (from the logconcave() function)

covars

A matrix of covariate values. Number of columns must match number in original fit

Examples

  fit = logconcave(rnorm(500) )
  # Fits a log concave estimator to an uncensored sample
    
  qLC(0.5, fit)  						
  # Estimates the median

  simData <- simPH_Censored()
  # Simulates current status data from a CoxPH model
  
  fit <- logconcave(simData$times, simData$x)
  # Fits coxPH model
  
  qLC(0.5, fit, covars = c(0,0))
  # Estimates the baseline median