DTDA: Doubly Truncated Data Analysis
Implementation of different algorithms for analyzing
randomly truncated data, one-sided and two-sided (i.e. doubly)
truncated data. It serves to compute empirical cumulative
distributions and also kernel density and hazard functions
using different bandwidth selectors.
Several real data sets are included.
Version: |
3.0.1 |
Imports: |
doParallel, foreach |
Published: |
2022-01-12 |
Author: |
Carla Moreira, Jacobo de Uña-Álvarez and Rosa Crujeiras |
Maintainer: |
Carla Moreira <carlamgmm at gmail.com> |
License: |
GPL-2 |
NeedsCompilation: |
no |
In views: |
Survival |
CRAN checks: |
DTDA results |
Documentation:
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