NEWS file for the DTR package

Changes in version 1.2

• sim.LDT.data.R: change L to be optional input with default as .Machine$double.xmax, which is the largest double value of R

• LDT.estimator.R: change L to be optional input with default as .Machine$double.xmax, which is the largest double value of R

• LDT.estimator.R: add a covariance estimate COV12 between SURV1 and SURV2 in the returned value

• LDT.estimator.R: change the returned value as a data frame

• LDT.mean.estimator.R: change L to be optional input with default as .Machine$double.xmax, which is the largest double value of R

• LDT.mean.estimator.R: add a covariance estimate MCOV12 between MEAN1 and MEAN2 in the returned value

• LDT.mean.estimator.R: change the returned value as a data frame

• New function sim.WRSE.data.R added to simulate data from sequentially randomized clinical trials (Guo and Tsiatis 2005)

• New function WRSE.estimator.R added to calculate WRSE estimator (Guo and Tsiatis 2005)

• New function DTR.Wald.test.R added to compare dynamic treatment regimes (DTRs) using Wald-type tests

• New function DTR.surv.plot.R added to plot survival curves for dynamic treatment regimes (DTRs)

• New function sim.Cox.data.R added to simulate data from sequentially randomized clinical trials (Tang and Wahed 2011)

• New function DTR.Cox.test.R added to compare dynamic treatment regimes (DTRs) after adjustment for covariates (Tang and Wahed 2011)

• New function sim.CHR.data.R added to simulate data from sequentially randomized clinical trials (Tang and Wahed 2013 [Epub ahead of print])

• New function updateBeta.R added to update the coefficient estimate(s) for covariate(s)

• New function CHR.estimator.R added to calculating cumulative hazard ratio (CHR) estimator (Tang and Wahed 2013 [Epub ahead of print])

• New function CHR.Wald.test.R added to compare dynamic treatment regimes (DTRs) based on cumulative hazard ratios (CHRs) (Tang and Wahed 2013 [Epub ahead of print])

• New function DTR.CHR.plot.R added to plot (log) cumulative hazard ratio between different dynamic treatment regimes (DTRs)

• New function sim.Logrank.data.R added to simulate data from sequentially randomized clinical trials (Kidwell and Wahed 2013)

• New function DTR.Logrank.test.R added to compare dynamic treatment regimes (DTRs) using weighted logrank tests

Changes in version 1.3

• The function sim.LDT.data was renamed to simLDTdata

• The function LDT.estimator.R was replaced by the function LDTestimate.R

• The function LDTestimate.R returns an object of class DTR containing all the survival estimates and estimated standard errors at observed event times

• The function LDT.mean.estimator.R was deleted

• The function sim.WRSE.data was renamed to simWRSEdata

• The function WRSE.estimator.R was replaced by the function WRSEestimate.R

• The function WRSEestimate.R returns an object of class DTR containing all the survival estimates and estimated standard errors at observed event times

• The S3 functions print.DTR, summary.DTR, print.summary.DTR, and plot.DTR were added

• The function DTR.Wald.test.R was replaced by the function contrast.wald.R

• The function contrast.wald.R implements the function wald.test() from the package aod to perform wald-type tests

• The function sim.CHR.data was renamed to simCHRdata

• The function CHR.estimator.R was replaced by the function CHRestimate.R

• The function CHRestimate.R returns an object of class CHR containing all the cumulative hazard ratio estimates and estimated standard errors at observed event times

• The S3 functions print.CHR, summary.CHR, print.summary.CHR, and plot.CHR were added

• The function CHR.Wald.test.R was replaced by the function contrast.chr.R

• The function contrast.chr.R implements the function wald.test() from the package aod to perform wald-type tests using the CHR estimates and their variance/covariance estimates

• The function sim.Cox.data was renamed to simPHdata

• The function DTR.Cox.test was replaced by two separate functions PHfit.R and contrast.ph.R

• The function PHfit.R returns an object of class coxph containing the proportional hazard model fit

• The function contrast.ph.R implements the function wald.test() from the package aod to perform wald-type tests based on the returned coefficient and variance/covariance estimated from PHfit()

• The function sim.Logrank.data.R was renamed to simLRdata

• The function DTR.Logrank.test.R was replaced by the function contrast.logrank.R

• The data sets LDTdata, WRSEdata, CHRdata, PHdata, and LRdata were added to data folder

• datalist was added to data folder

Changes in version 1.4

• The function contrast.wald was renamed to contrast_wald

• The function contrast.chr was renamed to contrast_chr

• The function contrast.logrank was renamed to contrast_logrank

• The function contrast.ph was renamed to contrast_ph

• An input option covar was added to the function PHfit to allow user to specify the covariates to be adjusted

• An input option covar was added to the function CHRestimate to allow user to specify the covariates to be adjusted

• An input option censored was added to the function plot.DTR for plotting censoring ticks

Changes in version 1.5

• A bug in the function CHRestimate was fixed

Changes in version 1.6

• Add CITATION file from JSS

• Add reference to DTR-package.RD

Changes in version 1.7

• Delete internal function stairstepn

• Internal functions stat_stepribbon and StatStepribbon were revised for newest version of ggplot2