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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.

Type Size Name Uploaded Downloads Labels
conda 301.5 kB | noarch/r-dtda-3.0.1-r43h142f84f_0.tar.bz2  11 months and 27 days ago 17 main
conda 301.7 kB | noarch/r-dtda-3.0.1-r42h142f84f_0.tar.bz2  2 years and 6 months ago 51 main
conda 162.4 kB | noarch/r-dtda-2.1_1-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 117 main

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