Basic analysis of all penalties taken in the German men's Bundesliga between the start of its inaugural season and May 2017. The main functions are suitable printing and plotting functions. Flexible selection of a player is supported via grep. Missed penalties can easily be included or excluded, depending on the user's wishes.

This package provides infrastructure for defining, storing, and managing financial instrument metadata independently of market data sources. Models instrument identities, contract specifications, identifiers, and relationships among financial instruments, including currencies, equities, funds, bonds, futures, options, spreads, exchange rates, and synthetic instruments. Supports reusable instrument definitions for research, portfolio management, trading, and quantitative finance applications.

Run simulations to assess the impact of various designs features and the underlying biological behaviour on the outcome of a Patient Derived Xenograft (PDX) population study. This project can either be deployed to a server as a shiny app or installed locally as a package and run the app using the command populationPDXdesignApp()'.

High resolution mass spectrometry yields often large data sets of spectra from compounds which are not present in available libraries. These spectra need to be annotated and interpreted. InterpretMSSpectrum provides a set of functions to perform such tasks for Electrospray-Ionization and Atmospheric-Pressure-Chemical-Ionization derived data in positive and negative ionization mode.

For a given suit, if you add up the number of cards that you hold, plus the number that has been played so far, you can easily determine the number that remains in the combined hands of your three opponents. You can also determine the ("special") card of highest rank of the remaining cards for that suit. At some point, you notice that a certain opponent discards that special card. What can you infer about his holding in that suit? A series of simulation studies are reported here that allows a quantitative inference based on the conditional probability, given that the opponent has the special card. The same procedure is also used for the conditional probability, given that the opponent does not have the special card.

DataSHIELD is an infrastructure and series of R packages that enables the remote and non-disclosive analysis of sensitive research data. This package is the DataSHIELD interface implementation to analyze data shared on a MOLGENIS Armadillo server. MOLGENIS Armadillo is a light-weight DataSHIELD server using a file store and an RServe server.

This package provides functions to generate frequency tables and apply cell key perturbation to protect against statistical disclosure in tabular outputs. The implemented methods are described in "Cell Key Perturbation User Guide" <https://github.com/ONSdigital/cell-key-perturbation-R/blob/main/documentation/SML_UserDoc_CKP_R.md>. Developed at the UK Office for National Statistics.

Basic implementation of a Gibbs sampler for a Chinese Restaurant Process along with some visual aids to help understand how the sampling works. This is developed as part of a postgraduate school project for an Advanced Bayesian Nonparametric course. It is inspired by Tamara Broderick's presentation on Nonparametric Bayesian statistics given at the Simons institute.

Spectral transmittance data for frequently used filters and similar materials. Plastic sheets and films; photography filters; theatrical gels; machine-vision filters; various types of window glass; optical glass and some laboratory plastics and glassware. Spectral reflectance data for frequently encountered materials. Part of the r4photobiology suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

multipart-parser is a simple parser for multipart MIME messages, written in Ruby, based on felixge/node-formidable's parser. It has the following characteristics:

• Pure Ruby

• Event-driven API

• Only supports one level of multipart parsing

• Does not perform I/O

• Does not depend on any other library.

Generate geospatial locations within census block groups (BG; the smallest geographic unit for which population counts are available) within target counties, states, or across the entirety of the U.S. randomly selected according to population counts by using the Census Bureau reference data and optionally allow users to conduct temporal assignments on sampled locations using Covid-19 data.

John the Ripper is a fast password cracker. Its primary purpose is to detect weak Unix passwords. Besides several crypt password hash types most commonly found on various Unix systems, supported out of the box are Windows LM hashes, plus lots of other hashes and ciphers. This is the community-enhanced, "jumbo" version of John the Ripper.

This package provides tools for fitting piecewise-constant hazard models for survival and competing risks data, including ensemble hazard estimation via the Super Learner framework. The package supports estimation of survival functions and absolute risk predictions from fitted cause-specific hazard models. For the Super Learner framework see van der Laan, Polley and Hubbard (2007) <doi:10.2202/1544-6115.1309>.

Provides a set of udev rules to allow using Mooltipass devices into a compatible udev Linux box. This package is intended to be added as a rule to the udev-service-type in your operating-system configuration.

Simply installing this package will not have any effect. It is meant to be passed to the udev service.

Provides a set of udev rules to allow using Mooltipass devices into a compatible udev Linux box. This package is intended to be added as a rule to the udev-service-type in your operating-system configuration.

Simply installing this package will not have any effect. It is meant to be passed to the udev service.

Fits multiple thin-layer drying kinetic models to experimental moisture ratio data, compares model performance using statistical criteria, performs residual diagnostics, identifies the best-fitting model, and exports results to Word documents. Twenty models from Ertekin and Firat (2017) <doi:10.1016/j.jfoodeng.2016.09.030> are fitted using the Levenberg-Marquardt algorithm described in Marquardt (1963) <doi:10.1137/0111030>.

This module provides a way to configure a list of XMPP client apps recommended by the current server. This list is used by other modules such as mod_invites_page and mod_invites_register_web.

It also contains the logos of a number of popular XMPP clients, and serves them over HTTP for other modules to reference when serving web pages.

Spectral response data for broadband ultraviolet and visible radiation sensors. Angular response data for broadband ultraviolet and visible radiation sensors and diffusers used as entrance optics. Data obtained from multiple sources were used: author-supplied data from scientific research papers, sensor-manufacturer supplied data, and published sensor specifications. Part of the r4photobiology suite Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

Proposes an original instrument for measuring stakeholder influence on the development of an infrastructure project that is carried through by a municipality, drawing on stakeholder classifications (Mitchell, Agle, & Wood, 1997) and input-output modelling (Hester & Adams, 2013). Mitchell R., Agle B.R., & Wood D.J. <doi:10.2307/259247> Hester, P.T., & Adams, K.M. (2013) <doi:10.1016/j.procs.2013.09.282>.

Crypt::RandPasswd provides three functions that can be used to generate random passwords, constructed from words, letters, or characters. This code is a Perl implementation of the Automated Password Generator standard, like the program described in "A Random Word Generator For Pronounceable Passwords". This code is a re-engineering of the program contained in Appendix A of FIPS Publication 181, "Standard for Automated Password Generator".

Clustering, or cluster analysis, is a widely used technique in bioinformatics to identify groups of similar biological data points. Consensus clustering is an extension to clustering algorithms that aims to construct a robust result from those clustering features that are invariant under different sources of variation. For the reference, please cite the following paper: Yousefi, Melograna, et. al., (2023) <doi:10.3389/fmicb.2023.1170391>.

This package was factored out of Plots.jl to allow any other plotting package to use the recipe pipeline. In short, the extremely lightweight RecipesBase.jl package can be depended on by any package to define "recipes": plot specifications of user-defined types, as well as custom plot types. RecipePipeline.jl contains the machinery to translate these recipes to full specifications for a plot.

This package provides the alpha-adjustment correction from "Benjamini, Y., & Hochberg, Y. (1995) <doi:10.1111/j.2517-6161.1995.tb02031.x> Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal statistical society: series B (Methodological), 57(1), 289-300". For researchers interested in using the exact mathematical formulas and procedures as used in the original paper.

This package creates a series of sets of graphics and statistics related to the longitudinal cascade, all included in a single object. The longitudinal cascade inputs longitudinal data to identify gaps in the HIV and related cascades by observing differences using time to event and survival methods. The stage definitions are set by the user, with default standard options. Outputs include graphics, datasets, and formal statistical tests.