predLogit: Predict interaction probability using logistic regression...
In ibn-salem/chromloop: Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs
Description
Usage
Arguments
Value
Description
Predict interaction probability using logistic regression model.
Usage
1
Arguments
data
A data.frame like object with predictor variables.
formula
A formula. All predictor variables should
be available in the data frame.
betas
A vector with parameter estimates for predictor variables. They
should be in the same order as variables in formula.
Value
A numeric vector with interaction probabilities for each observation
in df. NAs are produced for NAs in df.
ibn-salem/chromloop documentation built on May 18, 2019, 1:29 a.m.
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Description Usage Arguments Value
Description
Predict interaction probability using logistic regression model.
Usage
1 |
Arguments
data |
A data.frame like object with predictor variables. |
formula |
A |
betas |
A vector with parameter estimates for predictor variables. They
should be in the same order as variables in |
Value
A numeric vector with interaction probabilities for each observation
in df. NAs are produced for NAs in df.
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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