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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.

Versions across snapshots

VersionRepositoryFileSize
0.0.1 rolling linux/jammy R-4.5 iZID_0.0.1.tar.gz 158.0 KiB
0.0.1 rolling linux/noble R-4.5 iZID_0.0.1.tar.gz 157.9 KiB
0.0.1 rolling source/ R- iZID_0.0.1.tar.gz 71.5 KiB
0.0.1 latest linux/jammy R-4.5 iZID_0.0.1.tar.gz 158.0 KiB
0.0.1 latest linux/noble R-4.5 iZID_0.0.1.tar.gz 157.9 KiB
0.0.1 latest source/ R- iZID_0.0.1.tar.gz 71.5 KiB
0.0.1 2026-04-26 source/ R- iZID_0.0.1.tar.gz 71.5 KiB
0.0.1 2026-04-23 source/ R- iZID_0.0.1.tar.gz 71.5 KiB
0.0.1 2026-04-09 windows/windows R-4.5 iZID_0.0.1.zip 160.9 KiB
0.0.1 2025-04-20 source/ R- iZID_0.0.1.tar.gz 71.5 KiB

Dependencies (latest)

Imports