This package provides a way to convert seconds into a human readable format (struct) containing years, days, hours, minutes and seconds.

lxqt-runner provides a GUI that comes up on the desktop and allows for launching applications or shutting down the system.

This library uses the output of the ps command to create a process tree data structure for the current host.

Docile is a Ruby library that provides an interface for creating embedded domain specific languages (EDSLs) that manipulate existing Ruby classes.

R package based on Rcpp for MeCab': Yet Another Part-of-Speech and Morphological Analyzer. The purpose of this package is providing a seamless developing and analyzing environment for CJK texts. This package utilizes parallel programming for providing highly efficient text preprocessing posParallel() function. For installation, please refer to README.md file.

This package provides an interface to many endpoints of Mixpanel's Data Export, Engage and JQL API. The R functions allow for event and profile data export as well as for segmentation, retention, funnel and addiction analysis. Results are always parsed into convenient R objects. Furthermore it is possible to load and update profiles.

Here we performs robust hierarchical co-clustering between row and column entities of a data matrix in absence and presence of outlying observations. It can be used to explore important co-clusters consisting of important samples and their regulatory significant features. Please see Hasan, Badsha and Mollah (2020) <doi:10.1101/2020.05.13.094946>.

Data such as is contained in the two R data files in this package are required for the RITAN package examples. Users are highly encouraged to use their own or additional resources in conjunction with RITANdata. See the RITAN vignettes and RITAN.md for more information, such as gathering more up-to-date annotation data.

This package contains simple routines for finding roots, or zeros, of scalar functions of a single real variable using floating-point math.

Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.

This package performs a joint analysis of experiments with mixtures and random effects, taking on a process variable represented by a covariable.

Mainly used to build tables that are commonly presented for bio-medical/health research, such as basic characteristic tables or descriptive statistics.

Includes climate data from Japan Meteorological Agency ('JMA') <https://www.jma.go.jp/jma/indexe.html>. Can download climate data from JMA'.

Attempt to repair inconsistencies and missing values in data records by using information from valid values and validation rules restricting the data.

Generate search filters to query scientific bibliographic sources, such as PubMed and Web of Science, for non-human primate related publications.

This package implements under/oversampling for probability estimation. To be used with machine learning methods such as AdaBoost, random forests, etc.

Search and download data from the API for Japanese Diet Proceedings (see the reference at <https://kokkai.ndl.go.jp/api.html>).

This package implements a data language engine for incorporating data directly in rmarkdown documents so that they can be made completely standalone.

Datasets for the third edition of "Statistics: Unlocking the Power of Data" by Lock^5 Includes version of datasets from earlier editions.

This package provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and inter-laboratory metrology comparison studies.

Utilities and kinship information for behavior genetics and developmental research using the National Longitudinal Survey of Youth (NLSY; <https://www.nlsinfo.org/>).

Data and analysis from an experiment with improving touch typing speed, using the tDCS PlatoWork headset produced by PlatoScience.

This package provides functions and datasets to accompany J. Albert and J. Hu, "Probability and Bayesian Modeling", CRC Press, (2019, ISBN: 1138492566).

Miscellaneous small utilities are provided to mitigate issues with messy, inconsistent or high dimensional data and help for preprocessing and preparing analyses.