Provides tools for importing and cleaning Experience Sampling
    Method (ESM) data collected via the 'm-Path' platform. The goal is
    to provide with a few utility functions to be able to read and perform
    some common operations in ESM data collected through the 'm-Path'
    platform (<https://m-path.io/landing/>). Functions include raw data
    handling, format standardization, and basic data checks, as well as to
    calculate the response rate in data from ESM studies.

Overcomes one of the major challenges in mobile (passive)
    sensing, namely being able to pre-process the raw data that comes from
    a mobile sensing app, specifically 'm-Path Sense' <https://m-path.io>.
    The main task of 'mpathsenser' is therefore to read 'm-Path Sense'
    JSON files into a database and provide several convenience functions
    to aid in data processing.

Performs treatment allocation in two-arm clinical trials by the maximal procedure described by Berger et al. (2003) <doi:10.1002/sim.1538>. To that end, the algorithm provided by Salama et al. (2008) <doi:10.1002/sim.3014> is implemented.

It performs the followings Multivariate Process Capability Indices: Shahriari et al. (1995) Multivariate Capability Vector, Taam et al. (1993) Multivariate Capability Index (MCpm), Pan and Lee (2010) proposal (NMCpm) and the followings based on Principal Component Analysis (PCA):Wang and Chen (1998), Xekalaki and Perakis (2002) and Wang (2005). Two datasets are included.

Provides new data-structure support for multi-precision computing for R users. The package supports 16-bit, 32-bit, and 64-bit operations. To the best of our knowledge, 'MPCR' differs from the currently available packages in the following: 'MPCR' introduces a new data structure that supports three different precisions (16-bit, 32-bit, and 64-bit), allowing for optimized memory allocation based on the desired precision. This feature offers significant advantages in memory optimization. 'MPCR' extends support to all basic linear algebra methods across different precisions. Optional GPU acceleration via CUDA is available for 32-bit and 64-bit operations when CUDA Toolkit is detected during installation, while 16-bit operations are GPU-only and limited to matrix-matrix multiplication. 'MPCR' maintains a consistent interface with normal R functions, allowing for seamless code integration and a user-friendly experience.