Implementation in Python of some of the statistical methods provided by "asurv", the survival analysis software.
The original asurv software can be found at: http://www.astrostatistics.psu.edu/statcodes/
At the moment the only method implemented is the Schmitt binning method (Schmitt, J. H. M. M. 1985) and probably, this method will be the only one implemented. If you are interested in a regression method that can handle censored data in both axis without the problems of the Schmitt method (arbitrary binning, statistical properties not known, problems with small samples) you should have a look to the Akritas-Thiel-Sen method. It is explained in the book "Nondetects And Data Analysis: Statistics for Censored Environmental Data" (Wiley-Interscience, 2005, ISBN: 9780471671732). There is an implemetation of the method in R in a package called NADA. The method can be interfaced from Python using RPy.
Python-asurv depends on numpy.
To install python-asurv enter: python setup.py install
If you use this software for your work you should cite one of the following articles explaining the method used and the software (ASURV) in which this software is based: