predLogit: Predict interaction probability using logistic regression...
In ibn-salem/sevenC: 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/sevenC documentation built on May 17, 2019, 11:16 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
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.
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.