Look at the sand package, which is available at http://www.csm.ornl.gov/esh/statoed/
and the NADA package, which is available from CRAN. One or both may have items of interest. Tom Zita wrote: > > Hi. > > I am looking for a function for left-truncated data. > I have one data set with 2 variables (Hours~Yrs_Ed). > I already left-censored the data at 200 and left-truncated it at the same > spot, so that I am able to make 2 estimations (one for censoring and one > for truncation). > I know how to make the linear regression for the left-censored variable > (hours) and how to plot the regression line into the (x,y) plot (packages > AER, Zeileis, Survival, ...): > > tfit<-survreg(Surv(Hours,Hours>0, > type='left')~Yrs_Ed,data=DataWomen,dist='gaussian') > z<-predict(tfit,type="response") > plot(Yrs_Ed,Hours) > abline(tfit) > > My aim is to compare the effects of truncation and censoring graphically > by plotting the two regression lines into one plot with both datasets > (censored and truncated). > I just can't figure out how to write the function for left-truncated data > and what package to use for this. I only need "left-truncation", not > "left-truncation and right-censoring". > I hope somebody can help me with that matter. > > Zita > > > -- View this message in context: http://www.nabble.com/Left-truncated-regression-tp20789446p20798448.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
