Packaged: 2017-05-30 16:47:03 UTC; richardbarfield

Title: Calculation of Log2 Counts per Million Cutoff from ERCC Controls
Authors@R: c(person("Tyler", "Grimes", role = "aut", comment = c(ORCID = "0000-0002-5653-3418")),
person("Kristen", "Steenbergen", role = c("ctb", "cre"), email = "ksteenbergen@emmes.com"),
person("The Emmes Company LLC", role = "cph", comment = "Copyright holder of CpmERCCutoff package (Copyright (C) 2022)"),
Description: Implementation of the empirical method to derive log2 counts per million (CPM) cutoff to filter out lowly expressed genes using ERCC spike-ins as described in Goll and Bosinger et.al (2022)<doi:10.1101/2022.06.23.497396>. This package utilizes the synthetic mRNA control pairs developed by the External RNA Controls Consortium (ERCC) (ERCC 1 / ERCC 2) that are spiked into sample pairs at known ratios at various absolute abundances.  The relationship between the observed and expected fold changes is then used to empirically determine an optimal log2 CPM cutoff for filtering out lowly expressed genes.
Packaged: 2022-09-12 18:36:42 UTC; ksteenbergen
Author: Tyler Grimes [aut] (<https://orcid.org/0000-0002-5653-3418>),
The Emmes Company LLC [cph] (Copyright holder of CpmERCCutoff package

Title: Conditional probability function of a competing event
Description: Estimates the conditional probability function of a
competing event, and fits, using the temporal process
regression or the pseudo-value approach, a proportional-odds
model to the conditional probability function

Description: Estimates the conditional probability function of a competing event, and fits, using the temporal process regression or the pseudo-value approach, a proportional-odds model to the conditional probability function

Title: The Conditional Probability Function of a Competing Event
Description: Permits to estimate the conditional probability function of a competing event, and to fit, using the temporal process regression or the pseudo-value approach, a proportional-odds model to the conditional probability function (or other models by specifying another link function). See <doi:10.1111/j.1467-9876.2010.00729.x>.
Imports: tpr, geepack, lgtdl, graphics, stats, lattice