Function reference • yada

All functions
`hsiler()` `chsiler()` `ssiler()` `dsiler()` `psiler()` `qsiler()` `rsiler()` `nllsiler()`	Siler hazard model
`addECDFLinesToPlot()`	Add lines for the empirical cumulative density function to a plot
`bayDem_doInference()`	Do Demographic Bayesian Inference
`bayDem_loadCalibCurve()`	Load Calibration Curve
`calcCdfWeibMix()`	Calculate CDF given Weibull mixture proportions and parameters
`calcECDFPointPairs()`	Calculate empirical cumulative density function point pairs for plotting
`calcMSR()`	Calculate Martingale Survival Residuals
`calcMSRDensityConstHaz()`	Calculate the Martingale Survival Residual probability density
`calcMartResid()`	Calculate Martingale Residuals
`calcMartResidDensityConstHaz()`	Calculate the Martingale Residual probability density
`calcNMRDensityConstHaz()`	Calculate the Negative Martingale Residual probability density
`calcNegLogLikWeibMix()`	Calculate the negative log-likelihood given Weibull mixture proportions and parameters
`calcPdfMatrixWeibMix()`	Calculate PDF matrix given Weibull mixture parameters
`calcPdfWeibMix()`	Calculate PDF given Weibull mixture proportions and parameters
`calcStoppingCDF()`	Calculate the empirical cumulative density function for a stopping distribution
`fitConstHaz()`	Fit event history data assuming constant event and censoring hazards
`fitSilerMaxLik()`	Maximum likelihood fit for Siler distribution
`fitWeibMixMaxLikEM()`	Maximum likelihood fit for Weibull mixture
`simConstHaz()`	Simulate event history data with constant event and censoring hazards
`simLinHaz()`	Simulate event history data with linear event and constant censoring hazards

Reference

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