This package provides a simple implementation of Binary Indexed Tree by R. The BinaryIndexedTree class supports construction of Binary Indexed Tree from a vector, update of a value in the vector and query for the sum of a interval of the vector.
Graphics for statistics on a sphere, as applied to geological fault data, crystallography, earthquake focal mechanisms, radiation patterns, ternary plots and geographical/geological maps. Non-double couple plotting of focal spheres and source type maps are included for statistical analysis of moment tensors.
An R-shiny application to visualize bio-loggers time series at a microsecond precision as Acceleration, Temperature, Pressure, Light intensity. It is possible to link behavioral labels extracted from BORIS software <http://www.boris.unito.it> or manually written in a csv file.
This package provides a collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.
This package provides a robust Partial Least-Squares (PLS) method is implemented that is robust to outliers in the residuals as well as to leverage points. A specific weighting scheme is applied which avoids iterations, and leads to a highly efficient robust PLS estimator.
This package provides a suite of tools to create tables that accompany maps. The tools create clean, informative tables for electoral outcomes, compactness, and other district-level quantities. Most tools are aimed at the redistricting context, but are broadly applicable to other electoral data.
An R interface to KEA (Version 5.0). KEA (for Keyphrase Extraction Algorithm) allows for extracting keyphrases from text documents. It can be either used for free indexing or for indexing with a controlled vocabulary. For more information see <http://www.nzdl.org/Kea/>.
Systematically transform immunoassay data, evaluate if the data is normally distributed, and pick the right method for cut point determination based on that evaluation. This package can also produce plots that are needed for reports, so data analysis and visualization can be done easily.
This is a package providing tools for weighted k-Nearest neighbors for classification, regression and clustering.
This package provides a comprehensive collection of color palettes, color maps, and tools to evaluate them.
This package provides tools for clustering and principal component analysis (with robust methods, and parallelized functions).
Rakudo is a compiler that implements the Raku specification and runs on top of several virtual machines.
NChannelSet for rat hepatocytes treated with Carbon Tetrachloride (CCl4) data from LGC company.
This package finds optimal sets of genes that seperate samples into two or more classes.
Modified quantile normalization for omics or other matrix-like data distorted in location and scale.
This package provides a Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs.
Parameter estimation, one-step ahead forecast and new location prediction methods for spatio-temporal data.
This package provides functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
This package provides functions and a graphical user interface for graphical described multiple test procedures.
Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
This package implements likelihood inference based on higher order approximations for linear nonnormal regression models.
This package provides a variety of functions useful for data analysis, selection, manipulation, and graphics.
Inference and visualize gene regulatory network based on single-cell RNA sequencing pseudo-time information.
An implementation of the pediatric complex chronic conditions (CCC) classification system using R and C++.