evalLogLikSigmoid_comp: Compiled function: evalLogLikSigmoid

In YosefLab/ImpulseDE2: Differential expression analysis of longitudinal count data sets

Compiled function: evalLogLikSigmoid

Description

Pre-compile heavily used functions. Refer to evalLogLikSigmoid.

Usage

evalLogLikSigmoid_comp(vecTheta, vecCounts, scaDisp, vecSizeFactors,
  vecTimepointsUnique, vecidxTimepoint, lsvecidxBatch, vecboolObserved)

Arguments

vecTheta	(numeric vector number of parameters to be estimated) Sigmoid 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).
vecTimepointsUnique	(numeric vector length number of unique time points) Unique time points of set of time points of given samples.
vecidxTimepoint	(index vector length number of samples) Index of of time point assigned to each sample in vector vecTimepointsUnique.
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

YosefLab/ImpulseDE2 documentation built on Sept. 17, 2022, 2:45 a.m.