Perform Power Analysis for the RI-CLPM and STARTS Model

Perform user-friendly power analyses for the random intercept cross-lagged panel model (RI-CLPM) and the bivariate stable trait autoregressive trait state (STARTS) model. The strategy as proposed by Mulder (2023) is implemented. Extensions include the use of parameter constraints over time, bounded estimation, generation of data with skewness and kurtosis, and the option to setup the power analysis for Mplus.

R Inputs/Outputs for Tractography

An input-output interface for reading in and writing out common VTK formats that store tractography data. This data comes in the form of 3D polygons with possibly attributes at each point. These are obtained via tracking algorithms from diffusion MRI and are a non-invasive way of studying brain structural connectivity.

Open Source OCR Engine

Bindings to 'tesseract': 'tesseract' (< https://github.com/tesseract-ocr/tesseract>) is a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.

Split, Combine and Compress PDF Files

Bindings to 'qpdf': 'qpdf' (< https://qpdf.sourceforge.io/>) is a an open-source PDF rendering library that allows to conduct content-preserving transformations of PDF files such as split, combine, and compress PDF files.

Open 'ModPlug' Tracker Port

Tracker music uses audio samples and pattern tables to organise musical compositions. Such music is stored in module files. This package reads, renders and plays module files using the 'libopenmpt' library < https://lib.openmpt.org/>.

'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')

'Rcpp' Bindings for the C code of the 'Corpus Workbench' ('CWB'), an indexing and query engine to efficiently analyze large corpora (< https://cwb.sourceforge.io>). 'RcppCWB' is licensed under the GNU GPL-3, in line with the GPL-3 license of the 'CWB' (< https://www.r-project.org/Licenses/GPL-3>). The 'CWB' relies on 'pcre2' (BSD license, see < https://github.com/PCRE2Project/pcre2/blob/master/LICENCE.md>) and 'GLib' (LGPL license, see < https://www.gnu.org/licenses/lgpl-3.0.en.html>). See the file LICENSE.note for further information. The package includes modified code of the 'rcqp' package (GPL-2, see < https://cran.r-project.org/package=rcqp>). The original work of the authors of the 'rcqp' package is acknowledged with great respect, and they are listed as authors of this package. To achieve cross-platform portability (including Windows), using 'Rcpp' for wrapper code is the approach used by 'RcppCWB'.

Generic Coordinate System Transformations Using 'PROJ'

A wrapper around the generic coordinate transformation software 'PROJ' that transforms coordinates from one coordinate reference system ('CRS') to another. This includes cartographic projections as well as geodetic transformations. The intention is for this package to be used by user-packages such as 'reproj', and that the older 'PROJ.4' and version 5 pathways be provided by the 'proj4' package.

Interface to 'Phylocom'

Interface to 'Phylocom' (< https://phylodiversity.net/phylocom/>), a library for analysis of 'phylogenetic' community structure and character evolution. Includes low level methods for interacting with the three executables, as well as higher level interfaces for methods like 'aot', 'ecovolve', 'bladj', 'phylomatic', and more.

Correcting Drift and Carry-over in Continuous Isotopic Measurements

A series of functions that allow an easy and fast correction for drift and carry-over in continuous isotopic measurements. This implementation provides queries allowing users to perform the implemented corrections according to their needs. These functions further enable the processing of large datasets and can provides apt visualizations of the corrections performed.

Co-Data Learning for Bayesian Additive Regression Trees

Estimate prior variable weights for Bayesian Additive Regression Trees (BART). These weights correspond to the probabilities of the variables being selected in the splitting rules of the sum-of-trees. Weights are estimated using empirical Bayes and external information on the explanatory variables (co-data). BART models are fitted using the 'dbarts' 'R' package. See Goedhart and others (2023) for details.