This package provides new imputation methods for the mice package based on generalized additive models for location, scale, and shape (GAMLSS) as described in de Jong, van Buuren and Spiess <doi:10.1080/03610918.2014.911894>.

This package provides a class that links matrix-like objects (nodes) by rows or by columns while behaving similarly to a base R matrix. Very large matrices are supported if the nodes are file-backed matrices.

Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the lme4 machinery. The core computational algorithms are implemented using the Eigen C++ library for numerical linear algebra and RcppEigen glue'.

Dimension reduction for multivariate data of extreme events with a PCA like procedure as described in Reinbott, Janà en, (2024), <doi:10.48550/arXiv.2408.10650>. Tools for necessary transformations of the data are provided.

This package provides tools for working with medical coding schemas such as the International Classification of Diseases (ICD). Includes functions for comorbidity classification algorithms such as the Pediatric Complex Chronic Conditions (PCCC), Charlson, and Elixhauser indices.

Implementation of the sampling and aggregation method for the covariate shift maximin effect, which was proposed in <arXiv:2011.07568>. It constructs the confidence interval for any linear combination of the high-dimensional maximin effect.

This package provides functions to estimate statistical errors of phylogenetic metrics particularly to detect binary trait influence on diversification, as well as a function to simulate trees with fixed number of sampled taxa and trait prevalence.

This package provides drop-in replacements for functions from the stringr package, with the same user interface. These functions have no external dependencies and can be copied directly into your package code using the staticimports package.

Optimized prediction based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in various ways. See Ardia et al. (2021) <doi:10.18637/jss.v099.i02>.

Explore and analyse the genealogy of textual or musical traditions, from their variants, with various stemmatological methods, mainly the disagreement-based algorithms suggested by Camps and Cafiero (2015) <doi:10.1484/M.LECTIO-EB.5.102565>.

This package provides a tool for fast, efficient bitwise operations along the elements within a vector. Provides such functionality for AND, OR and XOR, as well as infix operators for all of the binary bitwise operations.

This package provides simple and crisp publication-quality graphics for the ExPosition family of packages. See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Redshank is a collection of code-wrangling Emacs macros mostly geared towards Common Lisp, but some are useful for other Lisp dialects, too. Redshank's code transformations aim to be expression-based (as opposed to character-based).

Python SDK for reporting exceptions, errors, and log messages to Rollbar.

Capabilities include:

• Sending messages and exceptions with arbitrary context

• Getting back aggregates

• Debugging production issues

This package provides Python module to slice a list of sliceables (1 indexed, both start and end index are inclusive). Helps to slice file content line by line or column by column or a combination of both.

This is a plugin to streaming to multiple RTMP servers concurrently. It's able to share encoders with main output of OBS to save CPU power. It can also use standalone encoders with basic configuration (bitrate).

This package performs general Bayesian estimation method of linearâ bilinear models for genotype à environment interaction. The method is explained in Perez-Elizalde, S., Jarquin, D., and Crossa, J. (2011) (<doi:10.1007/s13253-011-0063-9>).

Allows you to conduct robust correlations on your non-normal data set. The robust correlations included in the package are median-absolute-deviation and median-based correlations. Li, J.C.H. (2022) <doi:10.5964/meth.8467>.

Create a forest plot based on the layout of the data. Confidence intervals in multiple columns by groups can be done easily. Editing the plot, inserting/adding text, applying a theme to the plot, and much more.

Runs classical item analysis for multiple-choice test items and polytomous items (e.g., rating scales). The statistics reported in this package can be found in any measurement textbook such as Crocker and Algina (2006, ISBN:9780495395911).

This package provides sample data sets that are used in statistics and data science courses at the Münster School of Business. The datasets refer to different business topics but also other domains, e.g. sports, traffic, etc.

Coupled leaf gas exchange model, A-Ci curve simulation and fitting, Ball-Berry stomatal conductance models, leaf energy balance using Penman-Monteith, Cowan-Farquhar optimization, humidity unit conversions. See Duursma (2015) <doi:10.1371/journal.pone.0143346>.

To investigate the functional characteristics of selected SNPs and their vicinity genomic region. Linked SNPs in moderate to high linkage disequilibrium (e.g. r2>0.50) with the corresponding index SNPs will be selected for further analysis.

The goal of tidyheatmaps is to simplify the generation of publication-ready heatmaps from tidy data. By offering an interface to the powerful pheatmap package, it allows for the effortless creation of intricate heatmaps with minimal code.