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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  1 year and 11 days ago 18 main
conda 301.7 kB | noarch/r-dtda-3.0.1-r42h142f84f_0.tar.bz2  2 years and 7 months ago 52 main
conda 162.4 kB | noarch/r-dtda-2.1_1-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 119 main

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