PathExpander helps pre-process command-line arguments expanding directories into their constituent files. It further helps by providing additional mechanisms to make specifying subsets easier with path subtraction and allowing for command-line arguments to be saved in a file.

NOTE: this is NOT an options processor. It is a path processor (basically everything else besides options). It does provide a mechanism for pre-filtering cmdline options, but not with the intent of actually processing them in PathExpander. Use OptionParser to deal with options either before or after passing ARGV through PathExpander.

Romande ADF is a serif font family with oldstyle figures, designed as a substitute for Times, Tiffany or Caslon. The family currently includes upright, italic and small-caps shapes in each of regular and demi-bold weights and an italic script in regular. The support package renames the fonts according to the Karl Berry font name scheme and defines four families. Two of these primarily provide access to the ``standard'' or default characters while the ``alternate'' families support alternate characters, additional ligatures and the long ``s''. The included package files provide access to these features in LaTeX as explained in the documentation.

This package implements functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the spatstat family of packages. Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.

Derive instances of Arbitrary for QuickCheck, with various options to customize implementations.

Automating the arbitrary boilerplate also ensures that when a type changes to have more or fewer constructors, then the generator either fixes itself to generate that new case (when using the uniform distribution) or causes a compilation error so you remember to fix it (when using an explicit distribution).

This package also offers a simple (optional) strategy to ensure termination for recursive types: make Test.QuickCheck.Gen's size parameter decrease at every recursive call; when it reaches zero, sample directly from a trivially terminating generator given explicitly (genericArbitraryRec and withBaseCase) or implicitly (genericArbitrary').

This package provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in generalized linear models with categorical responses. The pre-fit methods apply on binomial-response generalized liner models such as logit, probit and cloglog regression, and can be directly supplied as fitting methods to the glm() function. The post-fit methods apply to models with categorical responses, including binomial-response generalized linear models and multinomial-response models, such as baseline category logits and adjacent category logits models; for example, the models implemented in the brglm2 package. The post-fit methods successively refit the model with increasing number of iteratively reweighted least squares iterations, and monitor the ratio of the estimated standard error for each parameter to what it has been in the first iteration.

This r-physicalactivity package provides a function wearingMarking for classification of monitored wear and nonwear time intervals in accelerometer data collected to assess physical activity. The package also contains functions for making plots of accelerometer data and obtaining the summary of various information including daily monitor wear time and the mean monitor wear time during valid days. The revised package version 0.2-1 improved the functions regarding speed, robustness and add better support for time zones and daylight saving. In addition, several functions were added:

1. the markDelivery can classify days for ActiGraph delivery by mail;

2. the markPAI can categorize physical activity intensity level based on user-defined cut-points of accelerometer counts.

It also supports importing ActiGraph (AGD) files with readActigraph and queryActigraph functions.

Point mutations occurring in a genome can be divided into 96 categories based on the base being mutated, the base it is mutated into and its two flanking bases. Therefore, for any patient, it is possible to represent all the point mutations occurring in that patient's tumor as a vector of length 96, where each element represents the count of mutations for a given category in the patient. A mutational signature represents the pattern of mutations produced by a mutagen or mutagenic process inside the cell. Each signature can also be represented by a vector of length 96, where each element represents the probability that this particular mutagenic process generates a mutation of the 96 above mentioned categories. In this R package, we provide a set of functions to extract and visualize the mutational signatures that best explain the mutation counts of a large number of patients.

This simple daemon feeds entropy from the CPU Jitter RNG core to the kernel Linux's entropy estimator. This prevents the /dev/random device from blocking and should benefit users of the preferred /dev/urandom and getrandom() interfaces too.

The CPU Jitter RNG itself is part of the kernel and claims to provide good entropy by collecting and magnifying differences in CPU execution time as measured by the high-resolution timer built into modern CPUs. It requires no additional hardware or external entropy source.

The random bit stream generated by jitterentropy-rngd is not processed by a cryptographically secure whitening function. Nonetheless, its authors believe it to be a suitable source of cryptographically secure key material or other cryptographically sensitive data.

If you agree with them, start this daemon as early as possible to provide properly seeded random numbers to services like SSH or those using TLS during early boot when entropy may be low, especially in virtualised environments.

Ruby bindings.

Failover for ActiveRecord and Redis

Documentation at https://melpa.org/#/ruby-refactor

Shim library for Module#ruby2_keywords

Documentation at https://melpa.org/#/org-re-reveal

Regression testing for the command line, and library API

Rubygems-task provides Rake tasks for managing and releasing Ruby Gems.

This package provides a modest JavaScript framework for the HTML you already have.

Platform Design Info for Affymetrix RUSGene-1_0-st.

Platform Design Info for Affymetrix RUSGene-1_1-st.

OpenCL 2.0 compatible language runtime, supporting offline and in-process/in-memory compilation.

Sorbet's runtime type checking component. Sorbet is a powerful type checker for Ruby.

Platform Design Info for Affymetrix RheGene-1_0-st.

Platform Design Info for Affymetrix RabGene-1_0-st.

Platform Design Info for Affymetrix RheGene-1_1-st.

Platform Design Info for Affymetrix RabGene-1_1-st.