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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 1 month ago 644 main cf201901
conda 282.0 kB | linux-64/r-gwpcr-0.9.10-r341h470a237_1.tar.bz2  6 years and 1 month ago 269 main cf201901
conda 328.8 kB | linux-64/r-gwpcr-0.9.10-r351h470a237_1.tar.bz2  6 years and 1 month ago 316 main cf201901
conda 279.7 kB | osx-64/r-gwpcr-0.9.10-r341h470a237_1.tar.bz2  6 years and 4 months ago 74 main cf201901
conda 279.8 kB | osx-64/r-gwpcr-0.9.10-r3.4.1_0.tar.bz2  6 years and 6 months ago 70 main cf201901
conda 282.0 kB | linux-64/r-gwpcr-0.9.10-r3.4.1_0.tar.bz2  6 years and 6 months ago 433 main cf201901
conda 278.9 kB | osx-64/r-gwpcr-0.9.9-r3.4.1_0.tar.bz2  6 years and 9 months ago 4207 main cf201901
conda 281.3 kB | linux-64/r-gwpcr-0.9.9-r3.4.1_0.tar.bz2  6 years and 10 months ago 449 main cf201901

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