predexprs: Predicted expression (mean and sampling)
In kieranrcampbell/bnlfa: Interpretable marker-based single-cell pseudotime using Bayesian parametric models
Description
Usage
Arguments
Value
Examples
Description
Extract the posterior mean of the predicted expression (ie the sigmoid
or transient function), or a sample from the posterior.
Usage
1
2
3
Arguments
oui
An object of class ouija_fit.
Value
A matrix of the same dimension as oui$Y containing
the MAP mean expression or a posterior sample of the mean expression.
Examples
1
2
3
data(oui)
pexp <- predicted_expression(oui)
sample_pexp <- sample_predicted_expression(oui)
kieranrcampbell/bnlfa documentation built on Dec. 2, 2019, 12:44 p.m.
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Description Usage Arguments Value Examples
Description
Extract the posterior mean of the predicted expression (ie the sigmoid or transient function), or a sample from the posterior.
Usage
1 2 3 |
Arguments
oui |
An object of class |
Value
A matrix of the same dimension as oui$Y containing
the MAP mean expression or a posterior sample of the mean expression.
Examples
1 2 3 | data(oui)
pexp <- predicted_expression(oui)
sample_pexp <- sample_predicted_expression(oui)
|
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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