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Numerical integration of cause-specific survival curves to arrive at cause-specific cumulative incidence functions, with three usage modes: 1) Convenient API for parametric survival regression followed by competing-risk analysis, 2) API for CFC, accepting user-specified survival functions in R, and 3) Same as 2, but accepting survival functions in C++. For mathematical details and software tutorial, see Mahani and Sharabiani (2019) <DOI:10.18637/jss.v089.i09>.

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conda 182.0 kB | linux-64/r-cfc-1.2.0-r43h884c59f_0.tar.bz2  1 year and 1 month ago 23 main
conda 614.1 kB | linux-64/r-cfc-1.1.2-r42h884c59f_0.tar.bz2  2 years and 7 months ago 56 main
conda 617.3 kB | win-64/r-cfc-1.1.2-r36h796a38f_0.tar.bz2  4 years and 11 months ago 57 main
conda 618.6 kB | osx-64/r-cfc-1.1.2-r36h466af19_0.tar.bz2  4 years and 11 months ago 19 main
conda 609.4 kB | linux-64/r-cfc-1.1.2-r36h29659fb_0.tar.bz2  4 years and 11 months ago 60 main

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