cal_p: Calculate the significance of the dynamic signal for a single...
In jaleesr/TrendCatcher_1.0.0: TrendCatcher: A Versitile R package for analyse longitudinal RNA-seq study
cal_p R Documentation
Calculate the significance of the dynamic signal for a single gene's single time expression.
Compared to baseline NB confidence interval.
Description
Calculate the significance of the dynamic signal for a single gene's single time expression.
Compared to baseline NB confidence interval.
Usage
cal_p(obs.val, size, mu)
Arguments
obs.val,
estimated value from non-baseline model.
size,
the size of negative binomial model.
mu,
the estimated mean of constant negative binomial model
Value
a numeric p-value for time t.
jaleesr/TrendCatcher_1.0.0 documentation built on Jan. 29, 2024, 9:34 p.m.
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| cal_p | R Documentation |
Calculate the significance of the dynamic signal for a single gene's single time expression. Compared to baseline NB confidence interval.
Description
Calculate the significance of the dynamic signal for a single gene's single time expression. Compared to baseline NB confidence interval.
Usage
cal_p(obs.val, size, mu)
Arguments
obs.val, |
estimated value from non-baseline model. |
size, |
the size of negative binomial model. |
mu, |
the estimated mean of constant negative binomial model |
Value
a numeric p-value for time t.
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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