R: Negative Binomial Models for RNA-Sequencing Data

# Negative Binomial Models for RNA-Sequencing Data

## Documentation for package ‘NBPSeq’ version 0.3.1

- DESCRIPTION file

## Help Pages

NBPSeq-package | Negative Binomial Regression Models for Statistical Analysis of RNA-Sequencing Data
arab | Arabidopsis RNA-Seq Data Set
estimate.disp | Fit a parametric disperison model to thinned counts
estimate.dispersion | Estimate Negative Binomial Dispersion
estimate.norm.factors | Estiamte Normalization Factors
exact.nb.test | Exact Negative Binomial Test for Differential Gene Expression
irls.nb.1 | Estimate the regression coefficients in an NB GLM model
nb.glm.test | Fit Negative Binomial Regression Model and Test for a Regression Coefficient
nbp.test | NBP Test for Differential Gene Expression from RNA-Seq Counts
NBPSeq | Negative Binomial Regression Models for Statistical Analysis of RNA-Sequencing Data
plot.nb.data | Boxplot and scatterplot matrix of relative frequencies (after normalization)
plot.nb.dispersion | Plot the estimated dispersion as a function of the preliminarily estimated mean relative frequencies
plot.nbp | Diagnostic Plots for an NBP Object
prepare.nb.data | Prepare the NB Data Structure for RNA-Seq Read Counts
prepare.nbp | Prepare the Data Structure for Exact NB test for Two-Group Comparison
print.nb.data | Print summary of the nb counts
print.nb.dispersion | Print the estimated dispersion model
print.nb.test | Print output from 'test.coefficient'
print.nbp | Print summary of an NBP Object
test.coefficient | Large-sample Test for a Regression Coefficient in an Negative Binomial Regression Model