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Implements the necessary distributions and parameter estimation procedures for a model of amplification and high-troughput sequencing. The model is based on a mechanistic model of PCR amplification as a Galton-Watson branching process, and on Poissonan sampling to model high-throughput sequencing.

Type Size Name Uploaded Downloads Labels
conda 327.4 kB | osx-64/r-gwpcr-0.9.10-r351h470a237_1.tar.bz2  6 years and 4 months ago 651 main cf201901
conda 282.0 kB | linux-64/r-gwpcr-0.9.10-r341h470a237_1.tar.bz2  6 years and 4 months ago 288 main cf201901
conda 328.8 kB | linux-64/r-gwpcr-0.9.10-r351h470a237_1.tar.bz2  6 years and 4 months ago 336 main cf201901
conda 279.7 kB | osx-64/r-gwpcr-0.9.10-r341h470a237_1.tar.bz2  6 years and 7 months ago 80 main cf201901
conda 279.8 kB | osx-64/r-gwpcr-0.9.10-r3.4.1_0.tar.bz2  6 years and 9 months ago 75 main cf201901
conda 282.0 kB | linux-64/r-gwpcr-0.9.10-r3.4.1_0.tar.bz2  6 years and 9 months ago 454 main cf201901

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