Rfastp is an R wrapper of fastp developed in c++. fastp performs quality control for fastq files. including low quality bases trimming, polyX trimming, adapter auto-detection and trimming, paired-end reads merging, UMI sequence/id handling. Rfastp can concatenate multiple files into one file (like shell command cat) and accept multiple files as input.

This package provides functionality to group lines that form naturally continuous lines in a spatial network. The algorithm implemented is based on the Continuity in Street Networks (COINS) method from Tripathy et al. (2021) <doi:10.1177/2399808320967680>, which identifies continuous "strokes" in the network as the line strings that maximize the angles between consecutive segments.

Toolbox for chemometrics analysis of bidimensional gas chromatography data. This package import data for common scientific data format (NetCDF) and fold it to 2D chromatogram. Then, it can perform preprocessing and multivariate analysis. In the preprocessing algorithms, baseline correction, smoothing, and peak alignment are available. While in multivariate analysis, multiway principal component analysis is incorporated.

We generate random variables following general Marchenko-Pastur distribution and Tracy-Widom distribution. We compute limits and distributions of eigenvalues and generalized components of spiked covariance matrices. We give estimation of all population eigenvalues of spiked covariance matrix model. We give tests of population covariance matrix. We also perform matrix denoising for signal-plus-noise model.

This package provides an R tool for estimating and partitioning R2 in generalized linear mixed models (GLMMs) based on predictor variance.

This package provides an R wrapper to the Python natural language processing (NLP) library spaCy, from http://spacy.io.

Contains functions for data preparation, descriptives, hazard estimation and prediction with Aalen-Johansen or simulation in competing risks and multi-state models.

This package provides an R interface to the jExcel library to create web-based interactive tables and spreadsheets compatible with spreadsheet software.

This package provides a series of additional Tcl commands and Tk widgets with style and various functions to supplement the tcltk package

This package provides empirical likelihood ratio tests for means/quantiles/hazards from possibly censored and/or truncated data. It also does regression.

Rayforce is a combined engine for performing computations on tables and graphs. It features a Lisp-like language for performing queries and operations.

Models and methods for fitting linear models to gene expression data, together with tools for computing and using various regression diagnostics.

This package provides a collection of models for bivariate alternating recurrent event data analysis. Includes non-parametric and semi-parametric methods.

Bayesian Nonparametric sensitivity analysis of multiple testing procedures for p values with arbitrary dependencies, based on the Dirichlet process prior distribution.

Bindings to the blowfish password hashing algorithm <https://www.openbsd.org/papers/bcrypt-paper.pdf> derived from the OpenBSD implementation.

Calculate the operating characteristics of the Bayesian Optimal Interval with Back Filling Design for dose escalation in early-phase oncology trials.

This package creates plots showing scored HR experiments and plots of distribution of means of ranks of HR score from bootstrapping.

This package provides a set of functions for doing analysis of A/B split test data and web metrics in general.

This package provides methods for the import/export and automated analysis of concept maps and concept landscapes (sets of concept maps).

Example datasets from the book "An Introduction to Generalised Linear Models" (4th edition) (Year: 2018, <isbn:9781138741515>) by Dobson and Barnett.

This package provides a collection of functions to preprocess data and organize them in a format amenable to use by chevron.

This package creates simple to highly customized tables for a wide selection of descriptive statistics, with or without weighting the data.

Efficient estimation of maximum likelihood models with multiple fixed-effects. Standard-errors can easily and flexibly be clustered and estimations exported.

An extension of ggplot2 that makes it easy to add raw grid output, such as customised annotations, to a ggplot2 plot.