This package provides a report of statistical findings (RSF) project template is generated using a bookdown format. YAML fields can be further customized. Additional helper functions provide extra features to the RSF.

Bayesian estimation and variable selection for quantile regression models.

Obtain optimum block from Non-overlapping Block Bootstrap method.

R bindings to SVD and eigensolvers (PROPACK, nuTRLan).

This package implements reversal association pattern analysis for categorical data. Detects sub-tables exhibiting reversal associations in contingency tables, provides visualization tools, and supports simulation-based validation for complex I Ã J tables.

Rqc is an optimized tool designed for quality control and assessment of high-throughput sequencing data. It performs parallel processing of entire files and produces a report which contains a set of high-resolution graphics.

This package provides a set of R functions to output Rich Text Format (RTF) files with high resolution tables and graphics that may be edited with a standard word processor such as Microsoft Word.

This package provides a toolkit for Commodities analytics', risk management and trading professionals. Includes functions for API calls to <https://commodities.morningstar.com/#/>, <https://developer.genscape.com/>, and <https://www.bankofcanada.ca/valet/docs>.

This package provides tools for Bayesian integrated analysis of Affymetrix GeneChips.

This package implements multiple imputation for multivariate panel or clustered data.

This package provides a variety of simple fish stock assessment methods.

This package provides basic classes and methods for Natural Language Processing.

Read raw EEM data and prepares them for further analysis.

Several tools for Global Value Chain ('GVC') analysis are implemented.

Generalized Turnbull's estimator proposed by Dehghan and Duchesne (2011).

Estimation/multiple imputation programs for mixed categorical and continuous data.

Color palettes based on nature inspired colours in "Sri Lanka".

Regression models for temporal process responses with time-varying coefficient.

Implementation of a Recurrent Neural Network architectures in native R, including Long Short-Term Memory (Hochreiter and Schmidhuber, <doi:10.1162/neco.1997.9.8.1735>), Gated Recurrent Unit (Chung et al.) and vanilla RNN.

Implementation of the Robust Gauss-Newton (RGN) algorithm, designed for solving optimization problems with a sum of least squares objective function. For algorithm details please refer to Qin et. al. (2018) <doi:10.1029/2017WR022488>.

Three methods to calculate R2 for models with correlated errors, including Phylogenetic GLS, Phylogenetic Logistic Regression, Linear Mixed Models (LMMs), and Generalized Linear Mixed Models (GLMMs). See details in Ives 2018 <doi:10.1093/sysbio/syy060>.

RAxML is a tool for phylogenetic analysis and post-analysis of large phylogenies.

This package lets you generate random or human readable and pronounceable identifiers.

This package provides power analysis functions along the lines of Cohen (1988).