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.

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Description file content

Package
iZID
Title
Identify Zero-Inflated Distributions
Version
0.0.1
Description
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) . 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.
License
MIT + file LICENSE
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.1
Imports
extraDistr (>= 1.8.11), methods (>= 3.1.0), rootSolve (>= 1.7), foreach (>= 1.4.7), doParallel (>= 1.0.15), stats (>= 3.1.0)
Depends
R (>= 3.1.0)
NeedsCompilation
no
Packaged
2019-11-06 08:49:55 UTC; Lenovo
Author
Lei Wang [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang [aut, cph]
Maintainer
Lei Wang
Repository
CRAN
Date/Publication
2019-11-06 12:40:02 UTC

install.packages('iZID')

0.0.1

9 days ago

Lei Wang

MIT + file LICENSE

Depends on

R (>= 3.1.0)

Imports

extraDistr (>= 1.8.11), methods (>= 3.1.0), rootSolve (>= 1.7), foreach (>= 1.4.7), doParallel (>= 1.0.15), stats (>= 3.1.0)

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