Zip is a compression and file packaging/archive utility. Zip is useful for packaging a set of files for distribution, for archiving files, and for saving disk space by temporarily compressing unused files or directories. Zip puts one or more compressed files into a single ZIP archive, along with information about the files (name, path, date, time of last modification, protection, and check information to verify file integrity). An entire directory structure can be packed into a ZIP archive with a single command.

Zip has one compression method (deflation) and can also store files without compression. Zip automatically chooses the better of the two for each file. Compression ratios of 2:1 to 3:1 are common for text files.

This package provides a cross-platform Zip compression library for R. It is a replacement for the zip function, that does not require any additional external tools on any platform.

This package provide a Common Lisp library for .zip-file reading and writing.

This package implements Python-style zip for R. Is a more flexible version of cbind.

We provide a flexible Zero-inflated Poisson-Gamma Model (ZIPG) by connecting both the mean abundance and the variability to different covariates, and build valid statistical inference procedures for both parameter estimation and hypothesis testing. These functions can be used to analyze microbiome count data with zero-inflation and overdispersion. The model is discussed in Jiang et al (2023) <doi:10.1080/01621459.2022.2151447>.

This package provide a Common Lisp library for .zip-file reading and writing.

Ziptime helps make .zip archives reproducible by replacing timestamps in the file header with a fixed time (1 January 2008).

``Extra fields'' are not changed, so you'll need to use the -X option to zip to prevent it from storing the ``universal time'' field.

Estimation methods for zero-inflated Poisson factor analysis (ZIPFA) on sparse data. It provides estimates of coefficients in a new type of zero-inflated regression. It provides a cross-validation method to determine the potential rank of the data in the ZIPFA and conducts zero-inflated Poisson factor analysis based on the determined rank.

Statistical models and utilities for the analysis of word frequency distributions. The utilities include functions for loading, manipulating and visualizing word frequency data and vocabulary growth curves. The package also implements several statistical models for the distribution of word frequencies in a population. (The name of this package derives from the most famous word frequency distribution, Zipf's law.).

Rust library for reading and writing Zip files.

Rust library for reading and writing Zip files.

This package provide a Common Lisp library for .zip-file reading and writing.

This package provides a set of functions for working with American postal codes, which are known as ZIP Codes. These include accessing ZIP Code to ZIP Code Tabulation Area (ZCTA) crosswalks, retrieving demographic data for ZCTAs, and tabulating demographic data for three-digit ZCTAs.

Permutations tests to identify factor correlated to zero-inflated proportions response. Provide a performance indicator based on Spearman correlation to quantify the part of correlation explained by the selected set of factors. See details for the method at the following preprint e.g.: <https://hal.archives-ouvertes.fr/hal-02936779v3>.

Zippy is a library for the PKWARE Zip archive format. It can read and write zip files. It features:

• archive inspection without extraction;

• Zip64 support;

• split archive support;

• PKWARE decryption;

• fast deflate decompression thanks to 3bz;

• operates on streams and vectors;

• can compress stream->stream;

• extensible for other encryption and compression mechanisms.

This function produces empirical best linier unbiased predictions (EBLUPs) for Zero-Inflated data and its Relative Standard Error. Small Area Estimation with Zero-Inflated Model (SAE-ZIP) is a model developed for Zero-Inflated data that can lead us to overdispersion situation. To handle this kind of situation, this model is created. The model in this package is based on Small Area Estimation with Zero-Inflated Poisson model proposed by Dian Christien Arisona (2018)<https://repository.ipb.ac.id/handle/123456789/92308>. For the data sample itself, we use combination method between Roberto Benavent and Domingo Morales (2015)<doi:10.1016/j.csda.2015.07.013> and Sabine Krieg, Harm Jan Boonstra and Marc Smeets (2016)<doi:10.1515/jos-2016-0051>.

Some data treated by the Japanese R user require unique operations and processing. These are caused by address, Kanji, and traditional year representations. zipangu transforms specific to Japan into something more general one.

Zippy is a library for the PKWARE Zip archive format. It can read and write zip files. It features:

• archive inspection without extraction;

• Zip64 support;

• split archive support;

• PKWARE decryption;

• fast deflate decompression thanks to 3bz;

• operates on streams and vectors;

• can compress stream->stream;

• extensible for other encryption and compression mechanisms.

Make working with ZIP codes in R painless with an integrated dataset of U.S. ZIP codes and functions for working with them. Search ZIP codes by multiple geographies, including state, county, city & across time zones. Also included are functions for relating ZIP codes to Census data, geocoding & distance calculations.

Implementation of zero-inflated Poisson models under Bayesian framework using data augmentation as discussed in Chapter 5 of Zhang (2020) <https://hdl.handle.net/10012/16378>. This package is constructed in accommodating four different scenarios: the general scenario, the scenario with measurement error in responses, the external validation scenario, and the internal validation scenario.

Zippy is a library for the PKWARE Zip archive format. It can read and write zip files. It features:

• archive inspection without extraction;

• Zip64 support;

• split archive support;

• PKWARE decryption;

• fast deflate decompression thanks to 3bz;

• operates on streams and vectors;

• can compress stream->stream;

• extensible for other encryption and compression mechanisms.

Implementation of four extensions of the Zipf distribution: the Marshall-Olkin Extended Zipf (MOEZipf) Pérez-Casany, M., & Casellas, A. (2013) <arXiv:1304.4540>, the Zipf-Poisson Extreme (Zipf-PE), the Zipf-Poisson Stopped Sum (Zipf-PSS) and the Zipf-Polylog distributions. In log-log scale, the two first extensions allow for top-concavity and top-convexity while the third one only allows for top-concavity. All the extensions maintain the linearity associated with the Zipf model in the tail.

This package provides a pathlib-compatible Zipfile object wrapper. It provides a backport of the Path object.