Computes a cox PH model with a log concave baseline distribution. If no covariates are provided, estimates the log concave NPMLE. Built specifically for interval censored data, where data is a n by 2 matrix with [i, 1] as the left side of the interval for subject i and [i,2] as right side. Uncensored data can be entered by setting [i,1] = [i,2]. Alternatively, this can also handle uncensored data. If all the data is uncensored, you may enter data as a length(n) vector.
|Date of publication||2014-12-14 18:56:04|
|Maintainer||Clifford Anderson-Bergman <email@example.com>|
dLC: Density estimates from a log concave fit
linesLC: Draws Lines for Logconcave Fit
logconcave: Cox PH model with Log Concave Baseline
logconPH-package: Computing a Cox PH Model with a Log Concave Baseline
pLC: Probability estimates from a log concave fit
plotLC: Plots Logconcave Fit
qLC: Quantiles estimates from a log concave fit
simCensored: Simulate current status data from Cox-PH model
sim_Censored: Simulate current status data from a beta(2,2) distribution
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