evalDropoutModel: Compute value of logistic dropout function given with scale...
In YosefLab/LineagePulse: Differential expression analysis and model fitting for single-cell RNA-seq data
Description
Usage
Arguments
Value
Author(s)
See Also
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
1
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
YosefLab/LineagePulse documentation built on May 6, 2019, 2:19 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s) See Also
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
1 | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.