The Linear Programming via Regularized Least Squares (LPPinv) is a
             two-stage estimation method that reformulates linear programs as
             structured least-squares problems. Based on the Convex Least
             Squares Programming (CLSP) framework, LPPinv solves linear
             inequality, equality, and bound constraints by (1) constructing a
             canonical constraint system and computing a pseudoinverse
             projection, followed by (2) a convex-programming correction stage
             to refine the solution under additional regularization (e.g.,
             Lasso, Ridge, or Elastic Net). LPPinv is intended for
             underdetermined and ill-posed linear problems, for which standard
             solvers fail.

Rapid, simulation-based exact (restricted) likelihood ratio tests
    for testing the presence of variance components/nonparametric terms for
    models fit with nlme::lme(),lme4::lmer(), lmerTest::lmer(), gamm4::gamm4() and
    mgcv::gamm().

Random forest with a variety of additional features for regression, classification and survival analysis. 
             The features include: parallel computing with OpenMP, embedded model for selecting the splitting variable,
             based on Zhu, Zeng & Kosorok (2015) <doi:10.1080/01621459.2015.1036994>, subject weight, variable weight, 
             tracking subjects used in each tree, etc.

R interface to the 'LTP'-Cloud service for Natural Language Processing
    in Chinese (http://www.ltp-cloud.com/).

A collection of functions to simulate luminescence production in 
    dosimetric materials using Monte Carlo methods. Implemented are models for 
    delocalised transitions (e.g., Chen and McKeever (1997) <doi:10.1142/2781>), 
    localised transitions (e.g., Pagonis et al. (2019) <doi:10.1016/j.jlumin.2018.11.024>) 
    and tunnelling transitions (Jain et al. (2012) <doi:10.1088/0953-8984/24/38/385402> 
    and Pagonis et al. (2019) <doi:10.1016/j.jlumin.2018.11.024>). 
    Supported stimulation methods are thermal luminescence (TL), 
    continuous-wave optically stimulated luminescence (CW-OSL), 
    linearly-modulated optically stimulated luminescence (LM-OSL), 
    linearly-modulated infrared stimulated luminescence (LM-IRSL),
    and isothermal luminescence (ITL or ISO-TL).