evalLogLikMu_comp: Compiled function: evalLogLikMu

In ImpulseDE2: Differential expression analysis of longitudinal count data sets

Description

Pre-compile heavily used functions. Refer to evalLogLikMu.

Usage

evalLogLikMu_comp(vecTheta, vecCounts, scaDisp, vecSizeFactors, lsvecidxBatch,
  vecboolObserved)

Arguments

vecTheta	(numeric vector number of parameters to be estimated) Constant model parameter and batch correction factor estimates.
vecCounts	(numeric vector number of samples) Read count data.
scaDisp	(scalar) Gene-wise negative binomial dispersion hyper-parameter.
vecSizeFactors	(numeric vector number of samples) Model scaling factors for each sample which take sequencing depth into account (size factors).
lsvecidxBatch	(list length number of confounding variables) List of index vectors. One vector per confounding variable. Each vector has one entry per sample with the index batch within the given confounding variable of the given sample. Batches are enumerated from 1 to number of batches.
vecboolObserved	(bool vector number of samples) Whether sample is observed (finite and not NA).

Value

scaLogLik (scalar) Value of cost function (loglikelihood) for given gene.

Author(s)

David Sebastian Fischer

ImpulseDE2 documentation built on April 28, 2020, 9:19 p.m.