Package: iZID 0.0.1

iZID: Identify Zero-Inflated Distributions

Computes bootstrapped Monte Carlo estimate of p value of Kolmogorov-Smirnov (KS) test and likelihood ratio test for zero-inflated count data, based on the work of Aldirawi et al. (2019) <doi:10.1109/BHI.2019.8834661>. With the package, user can also find tools to simulate random deviates from zero inflated or hurdle models and obtain maximum likelihood estimate of unknown parameters in these models.

Authors:Lei Wang [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang [aut, cph]

iZID_0.0.1.tar.gz
iZID_0.0.1.zip(r-4.7-any)iZID_0.0.1.zip(r-4.6-any)iZID_0.0.1.zip(r-4.5-any)
iZID_0.0.1.tgz(r-4.6-any)iZID_0.0.1.tgz(r-4.5-any)
iZID_0.0.1.tar.gz(r-4.7-any)iZID_0.0.1.tar.gz(r-4.6-any)
iZID_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
iZID/json (API)

# Install 'iZID' in R:
install.packages('iZID', repos = c('https://xiaomangmang.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • OTU - Bacterial OTUs.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 8 scripts 271 downloads 12 exports 8 dependencies

Last updated from:9cfc679b0a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK94
source / vignettesOK163
linux-releaseOK96
macos-releaseOK117
macos-oldrelOK103
windows-develOK68
windows-releaseOK54
windows-oldrelOK68
wasm-releaseOK91

Exports:bb.mlebb.zihmlebnb.mlebnb.zihmledis.kstestmodel.lrtnb.mlenb.zihmlepoisson.mlepoisson.zihmlesample.hsample.zi

Dependencies:codetoolsdoParallelextraDistrforeachiteratorsRcppRcppArmadillorootSolve