We provide an Rcmdr plug-in based on the depthTools package, which implements different robust statistical tools for the description and analysis of gene expression data based on the Modified Band Depth, namely, the scale curves for visualizing the dispersion of one or various groups of samples (e.g. types of tumors), a rank test to decide whether two groups of samples come from a single distribution and two methods of supervised classification techniques, the DS and TAD methods.

Perform likelihood estimation and corresponding analysis under the copula-based Markov chain model for serially dependent event times with a dependent terminal event. Available are statistical methods in Huang, Wang and Emura (2020, JJSD accepted).

An open source library for face detection in images. Provides a pretrained convolutional neural network based on <https://github.com/ShiqiYu/libfacedetection> which can be used to detect faces which have size greater than 10x10 pixels.

Nerd Fonts is a project that patches developer targeted fonts with a high number of glyphs (icons). Specifically to add a high number of extra glyphs from popular 'iconic fonts' such as Font Awesome, Devicons, Octicons, and others.

one-more-re-nightmare is a regular expression engine that uses the technique presented in Regular-expression derivatives re-examined (Owens, Reppy and Turon, 2009; doi:10.1017/S0956796808007090) to interpret and compile regular expressions.

This package implements the leaky-bucket rate limit algorithm. It refills the bucket based on the time elapsed between requests instead of requiring an interval clock to fill the bucket discretely.

Encodes several methods for performing Mendelian randomization analyses with summarized data. Summarized data on genetic associations with the exposure and with the outcome can be obtained from large consortia. These data can be used for obtaining causal estimates using instrumental variable methods.

This tool set provides a set of functions to fit the nested Dirichlet process mixture of products of multinomial distributions (NDPMPM) model for nested categorical household data in the presence of impossible combinations. It has direct applications in imputing missing values for and generating synthetic versions of nested household data.

Rainbow-delimiters is a "rainbow parentheses"-like mode for Emacs which highlights parentheses, brackets, and braces according to their depth. Each successive level is highlighted in a different color, making it easy to spot matching delimiters, orient yourself in the code, and tell which statements are at a given level.

Accompanies a paper (Barunik, Krehlik (2018) <doi:10.1093/jjfinec/nby001>) dedicated to spectral decomposition of connectedness measures and their interpretation. We implement all the developed estimators as well as the historical counterparts. For more information, see the help or GitHub page (<https://github.com/tomaskrehlik/frequencyConnectedness>) for relevant information.

The datatool-regions bundle provides the language-independent region .ldf files for the datatool package. The region files deal with defining the currency symbol, and may additionally (if not dependent on the language) set the number group and decimal characters, and provide functions for parsing numeric dates and times.

The pip-run command provides on-demand temporary package installation for a single interpreter run. It replaces this series of commands:

$ virtualenv --python pythonX.X --system-site-packages /tmp/env
$ /tmp/env/bin/pip install pkg1 pkg2 -r reqs.txt
$ /tmp/env/bin/python ...
$ rm -rf /tmp/env

Aims at detecting single nucleotide variation (SNV) and insertion/deletion (INDEL) in circulating tumor DNA (ctDNA), used as a surrogate marker for tumor, at each base position of an Next Generation Sequencing (NGS) analysis. Mutations are assessed by comparing the minor-allele frequency at each position to the measured PER in control samples.

Make optimal decisions for your personal or household finances. Use tools and methods that are selected carefully to align with academic consensus, bridging the gap between theoretical knowledge and practical application. They help you find your own personalized optimal discretionary spending or optimal asset allocation, and prepare you for retirement or financial independence. The optimal solution to this problems is extremely complex, and we only have a single lifetime to get it right. Fortunately, we now have the user-friendly tools implemented, that integrate life-cycle models with single-period net-worth mean-variance optimization models. Those tools can be used by anyone who wants to see what highly-personalized optimal decisions can look like. For more details see: Idzorek T., Kaplan P. (2024, ISBN:9781952927379), Haghani V., White J. (2023, ISBN:9781119747918).

An outcome-guided algorithm is developed to identify clusters of samples with similar characteristics and survival rate. The algorithm first builds a random forest and then defines distances between samples based on the fitted random forest. Given the distances, we can apply hierarchical clustering algorithms to define clusters. Details about this method is described in <https://github.com/luyouepiusf/SurvivalClusteringTree>.

This package adds new RSS generation options to the org-publish-project-alist variable (see the Org manual if you are new to the publishing options). It adds :auto-rss and other options that work similar to the included :auto-sitemap functionality. This should make it easy for users to add RSS feeds to existing Org-based websites.

This module allows libraries to have a dependency to a small module instead of the full Log-Report distribution. The full power of Log::Report is only released when the main program uses that module. In that case, the module using the Optional will also use the full Log::Report, otherwise the dressed-down Log::Report::Minimal version.

This small package modifies the BibLaTeX macro which reads a .bbl file created by Biber. It is thus possible to include a .bbl file into the main document with the environment and send it to a publisher who does not need to run the Biber program. However, when the bibliography changes one has to create a new .bbl file.

Computes the Danish Pesticide Load Indicator as described in Kudsk et al. (2018) <doi:10.1016/j.landusepol.2017.11.010> and Moehring et al. (2019) <doi:10.1016/j.scitotenv.2018.07.287> for pesticide use data. Additionally offers the possibility to directly link pesticide use data to pesticide properties given access to the Pesticide properties database (Lewis et al., 2016) <doi:10.1080/10807039.2015.1133242>.

U-Boot is a bootloader used mostly for ARM boards. It also initializes the boards (RAM etc).

It allows network booting and uses the device-tree from the firmware, allowing the usage of overlays. It can act as an EFI firmware for the grub-efi-netboot-removable-bootloader. This is a 32-bit build of U-Boot.

This package only contains the file u-boot.bin.

U-Boot is a bootloader used mostly for ARM boards. It also initializes the boards (RAM etc).

It allows network booting and uses the device-tree from the firmware, allowing the usage of overlays. It can act as an EFI firmware for the grub-efi-netboot-removable-bootloader. This is a 32-bit build of U-Boot.

This package only contains the file u-boot.bin.

Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package is for learning purposes and allows users to optimize various functions or parameters by mimicking biological evolution processes such as selection, crossover, and mutation. Ideal for tasks like machine learning parameter tuning, mathematical function optimization, and solving an optimization problem that involves finding the best solution in a discrete space.

U-Boot is a bootloader used mostly for ARM boards. It also initializes the boards (RAM etc).

It allows network booting and uses the device-tree from the firmware, allowing the usage of overlays. It can act as an EFI firmware for the grub-efi-netboot-removable-bootloader. This is a common 64-bit build of U-Boot for all 64-bit capable Raspberry Pi variants.

This package only contains the file u-boot.bin.

Utilize the shiny interface for visualizing results from a pyDarwin (<https://certara.github.io/pyDarwin/>) machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models, allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an R Markdown document and rendered in various output formats.