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Out of Memory Vectors
Core functionality for working with vectors (numeric, integer, logical and character) that are too large to keep in memory. The vectors are kept (partially) on disk using memory mapping. This package contains the basic functionality for working with these memory mapped vectors (e.g. creating, indexing, ordering and sorting) and provides C++ headers which can be used by other packages to extend the functionality provided in this package.
Estimate Correlations Between Repeatedly Measured Endpoints (E.g., Reliability) Based on Linear Mixed-Effects Models
In clinical practice and research settings in medicine and the behavioral sciences, it is often of interest to quantify the correlation of a continuous endpoint that was repeatedly measured (e.g., test-retest correlations, ICC, etc.). This package allows for estimating these correlations based on mixed-effects models. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Categorical Marginal Models
Quite extensive package for maximum likelihood estimation and
weighted least squares estimation of categorical marginal models (CMMs;
e.g., Bergsma and Rudas, 2002, < http://www.jstor.org/stable/2700006?;
Bergsma, Croon and Hagenaars, 2009,
Interface with Google BigQuery with Shiny Compatibility
Interface with 'Google BigQuery', see < https://cloud.google.com/bigquery/> for more information. This package uses 'googleAuthR' so is compatible with similar packages, including 'Google Cloud Storage' (< https://cloud.google.com/storage/>) for result extracts.
R Code for Mark Analysis
An interface to the software package MARK that constructs input files for MARK and extracts the output. MARK was developed by Gary White and is freely available at < http://www.phidot.org/software/mark/downloads/> but is not open source.
Calibration of Scatterplot and Biplot Axes
Package for drawing calibrated scales with tick marks on (non-orthogonal) variable vectors in scatterplots and biplots.
Fast R and C++ Access to NIfTI Images
Provides very fast read and write access to images stored in the NIfTI-1 and ANALYZE-7.5 formats, with seamless synchronisation between compiled C and interpreted R code. Also provides a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration.
Mark-Recapture Distance Sampling
Animal abundance estimation via conventional, multiple covariate and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function fitting is performed via maximum likelihood. Also included are diagnostics and plotting for fitted detection functions. Abundance estimation is via a Horvitz-Thompson-like estimator.
Fast, Dependency-Free Geodesic Distance Calculations
Dependency-free, ultra fast calculation of geodesic distances.
Includes the reference nanometre-accuracy geodesic distances of Karney
Implementation of the Horseshoe Prior
Contains functions for applying the horseshoe prior to high- dimensional linear regression, yielding the posterior mean and credible intervals, amongst other things. The key parameter tau can be equipped with a prior or estimated via maximum marginal likelihood estimation (MMLE). The main function, horseshoe, is for linear regression. In addition, there are functions specifically for the sparse normal means problem, allowing for faster computation of for example the posterior mean and posterior variance. Finally, there is a function available to perform variable selection, using either a form of thresholding, or credible intervals.