brownianBridgeEmpcdf.url: URL for downloading the asymptotic CDF occuring in the...
In goncalves-lab/diffexpR: Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
brownianBridgeEmpcdf.url R Documentation
URL for downloading the asymptotic CDF occuring in the asymptotic theory-based test
Description
URL for downloading the cumulative distribution function (CDF) of the integral over the squared standard Brownian bridge in the unit interval, where the computation is based on Monte Carlo simulations.
This CDF occurs as an asymptotic distribution in the asymptotic theory-based test using the 2-Wasserstein distance, see Schefzik et al. (2020) for details.
It is used to determine the corresponding p-values in the function .wassersteinTestAsy.
Usage
brownianBridgeEmpcdf.url
Format
An object of class character of length 1.
References
Schefzik, R., Flesch, J., and Goncalves, A. (2020). waddR: Using the 2-Wasserstein distance to identify differences between distributions in two-sample testing, with application to single-cell RNA-sequencing data.
goncalves-lab/diffexpR documentation built on June 5, 2023, 10:18 p.m.
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| brownianBridgeEmpcdf.url | R Documentation |
URL for downloading the asymptotic CDF occuring in the asymptotic theory-based test
Description
URL for downloading the cumulative distribution function (CDF) of the integral over the squared standard Brownian bridge in the unit interval, where the computation is based on Monte Carlo simulations.
This CDF occurs as an asymptotic distribution in the asymptotic theory-based test using the 2-Wasserstein distance, see Schefzik et al. (2020) for details.
It is used to determine the corresponding p-values in the function .wassersteinTestAsy.
Usage
brownianBridgeEmpcdf.url
Format
An object of class character of length 1.
References
Schefzik, R., Flesch, J., and Goncalves, A. (2020). waddR: Using the 2-Wasserstein distance to identify differences between distributions in two-sample testing, with application to single-cell RNA-sequencing data.
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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