simulate_data()does not distribute missingness uniformly across all variables anymore, but rather introduces a different (random) missingness on different columns which average to the specified proportion missingness- Modified
km_pooling()to handle special situations with time = 0 and survival probability = 1 and survival probability = 0, respectively - Added argument
time =tokm_pooling()to estimate pooled survival probabilities at specified time points
- Initial version of the package
- Linked articles to https://janickweberpals.github.io/imputation-ps-workflows/
- Automated checks using GitHub Actions