I have a time series dataset as follows (just 1 part out of 1000 obs). The data includes only the time and the outcome (1 – success, 0 – failure). Time here is not the amount of time but the date (For example, test 1 is performed at 15:18:56 on 10/9/2012, not that it took 15 hours to complete).
Tests are independent but it is assumed that lessons learned after a failure
Questions:
(1) Do you know any package in R/ Python that could help predicting this data?
(2) How the assumption of lesson learned impact the prediction model?
Best Answer
If you want to predict the outcome based on time, where outcome is your response try using survival analysis. Your data looks like a good candidate for this analysis.
Survival regression model and Kaplan-maier estimate (probability function) are available in R. The pakage is survival. Here is a link to a good tutorial.
https://www.r-bloggers.com/survival-analysis-with-r/amp/