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NBPSeq (version 0.3.1)
Negative Binomial Models for RNA-Sequencing Data
Description
Negative Binomial (NB) models for two-group comparisons and regression inferences from RNA-Sequencing Data.
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0.3.1
0.3.0
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Install
install.packages('NBPSeq')
Monthly Downloads
404
Version
0.3.1
License
GPL-2
Maintainer
Yanming Di
Last Published
June 9th, 2022
Functions in NBPSeq (0.3.1)
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estimate.disp
Fit a parametric disperison model to thinned counts
irls.nb.1
Estimate the regression coefficients in an NB GLM model
nbp.test
NBP Test for Differential Gene Expression from RNA-Seq Counts
estimate.norm.factors
Estiamte Normalization Factors
NBPSeq-package
Negative Binomial Regression Models for Statistical Analysis of RNA-Sequencing Data
nb.glm.test
Fit Negative Binomial Regression Model and Test for a Regression Coefficient
estimate.dispersion
Estimate Negative Binomial Dispersion
arab
Arabidopsis RNA-Seq Data Set
exact.nb.test
Exact Negative Binomial Test for Differential Gene Expression
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
test.coefficient
Large-sample Test for a Regression Coefficient in an Negative Binomial Regression Model
print.nb.dispersion
Print the estimated dispersion model
print.nb.data
Print summary of the nb counts
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
plot.nbp
Diagnostic Plots for an NBP Object
print.nbp
Print summary of an NBP Object
print.nb.test
Print output from
test.coefficient