evalLogLikNB_comp: Compiled function: evalLogLikNB
In YosefLab/LineagePulse: Differential expression analysis and model fitting for single-cell RNA-seq data
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Pre-compile heavily used functions.
Refer to evalLogLikNB
Usage
1
evalLogLikNB_comp(vecCounts, vecMu, vecDisp, vecidxNotZero, vecidxZero)
Arguments
vecCounts
(count vector number of samples)
Observed read counts, not observed are NA.
vecMu
(vector number of samples)
Negative binomial mean parameter.
vecDisp
(scalar vector number of samples)
Negative binomial dispersion parameters.
vecidxNotZero
(bool vector number of samples)
Whether observation is larger than zero.
vecidxZero
(bool vector number of samples)
Whether observation is zero.
Value
scaLogLik (scalar) Likelihood under zero-inflated
negative binomial model.
Author(s)
David Sebastian Fischer
See Also
evalLogLikNB
YosefLab/LineagePulse documentation built on May 6, 2019, 2:19 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Pre-compile heavily used functions. Refer to evalLogLikNB
Usage
1 | evalLogLikNB_comp(vecCounts, vecMu, vecDisp, vecidxNotZero, vecidxZero)
|
Arguments
vecCounts |
(count vector number of samples) Observed read counts, not observed are NA. |
vecMu |
(vector number of samples) Negative binomial mean parameter. |
vecDisp |
(scalar vector number of samples) Negative binomial dispersion parameters. |
vecidxNotZero |
(bool vector number of samples) Whether observation is larger than zero. |
vecidxZero |
(bool vector number of samples) Whether observation is zero. |
Value
scaLogLik (scalar) Likelihood under zero-inflated negative binomial model.
Author(s)
David Sebastian Fischer
See Also
evalLogLikNB
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.
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