evalDropoutModel {LineagePulse}R Documentation

Compute value of logistic dropout function given with scale boundaries

Description

Computes value of logistic function for one observation and uses offset to correct model. The drop-out magnitude boundary parameter scaOffset is set in here.

Usage

evalDropoutModel(vecPiModel, vecPiPredictors)

Arguments

vecPiModel

(numeric vector length linear model) Linear model for drop-out rate in logit space.

vecPiPredictors

(vector length of predictors) Predictors of the drop-out rate in the linear model. Minimum are a constant offset and log of the negative binomial mean parameter. Other gene-specific predictors can be added.

Value

scaDropoutRate (scalar) Drop-out rate estimate.

Author(s)

David Sebastian Fischer

See Also

evalDropoutModel_comp


[Package LineagePulse version 1.10.0 Index]