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Joint Mean and Covariance Estimation for Matrix-Variate Data
Jointly estimates two-group means and covariances
for matrix-variate data and calculates test statistics.
This package implements the algorithms defined in
Hornstein, Fan, Shedden, and Zhou (2018)
Dimension Reduction, Regression and Discrimination for Chemometrics
Data exploration and prediction with focus on high dimensional data and chemometrics. The package was initially designed about partial least squares regression and discrimination models and variants, in particular locally weighted PLS models (LWPLS). Then, it has been expanded to many other methods for analyzing high dimensional data. The name 'rchemo' comes from the fact that the package is orientated to chemometrics, but most of the provided methods are fully generic to other domains. Functions such as transform(), predict(), coef() and summary() are available. Tuning the predictive models is facilitated by generic functions gridscore() (validation dataset) and gridcv() (cross-validation). Faster versions are also available for models based on latent variables (LVs) (gridscorelv() and gridcvlv()) and ridge regularization (gridscorelb() and gridcvlb()).
A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large Language Models
A thin wrapper around the tiktoken-rs crate, allowing to encode text into Byte-Pair-Encoding (BPE) tokens and decode tokens back to text. This is useful to understand how Large Language Models (LLMs) perceive text.
'R' Interface to the 'Diariodeobras' Application
Provides a set of functions for securely storing 'API' tokens and interacting with the < https://diariodeobras.net> system. Includes convenient wrappers around the 'httr2' package to perform authenticated requests, retrieve project details, tasks, reports, and more.
Secure and Intuitive Access to 'Plug' Interface
Provides a secure and user-friendly interface to interact with the 'Plug' < https://plugbytpf.com.br> 'API'. It enables developers to store and manage tokens securely using the 'keyring' package, retrieve data from 'API' endpoints with the 'httr2' package, and handle large datasets with chunked data fetching. Designed for simplicity and security, the package facilitates seamless integration with 'Plug' ecosystem.
Computes Statistics for Relational Event History Data
Computes a variety of statistics for relational event models. Relational event models enable researchers to investigate both exogenous and endogenous factors influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008,
Bayesian Model to Estimate Population Trends from Counts Series
Infers the trends of one or several animal populations over time from series of counts. It does so by accounting for count precision (provided or inferred based on expert knowledge, e.g. guesstimates), smoothing the population rate of increase over time, and accounting for the maximum demographic potential of species. Inference is carried out in a Bayesian framework. This work is part of the FRB-CESAB working group AfroBioDrivers < https://www.fondationbiodiversite.fr/en/the-frb-in-action/programs-and-projects/le-cesab/afrobiodrivers/>.
Goodness-of-Fit Tests for Capture-Recapture Models
Performs goodness-of-fit tests for capture-recapture models as
described by Gimenez et al. (2018)
Fast Network Modularity and Roles Computation by Simulated Annealing (Rgraph C Library Wrapper for R)
Provides functions to compute the modularity and modularity-related roles in networks. It is a wrapper around the rgraph library (Guimera & Amaral, 2005,
Improved Methods for Constructing Prediction Intervals for Network Meta-Analysis
Improved methods to construct prediction intervals for network meta-analysis. The parametric bootstrap and Kenward-Roger-type adjustment by Noma et al. (2022)