Measure the dependence structure between two random variables with a new correlation coefficient and extend it to hypothesis test, feature screening and false discovery rate control.

Extends the classical Newman studentized range statistic
  in various ways that can be applied to genome-scale transcriptomic
  or other expression data.

Implements a four-stage pipeline for probabilistic seismic
  performance analysis of slopes and embankments. The package takes a
  uniform-hazard spectrum at multiple return periods as input (any
  source) and produces: (1) synthetic soil profile generation and
  fundamental period estimation from USCS classification via Ishihara's
  small-strain shear-modulus model and the inhomogeneous truncated
  shear-beam theory of Gazetas and Dakoulas; (2) nonlinear site
  amplification using the NGA-East ergodic site-response models
  (Stewart et al. (2020) <doi:10.1177/8755293019878185> and
  Hashash et al. (2020) <doi:10.1177/8755293019878193>, with the
  2017 PEER-report generation retained as an option), with
  inter-period correlation via
  Baker & Jayaram (2008) <doi:10.1193/1.2857544>; (3) Monte Carlo
  ensemble of six empirical Newmark sliding-block displacement models
  (Ambraseys & Menu (1988) <doi:10.1002/eqe.4290160704>,
   Jibson (2007) <doi:10.1016/j.enggeo.2007.01.013>,
   Saygili & Rathje (2008) <doi:10.1061/(ASCE)1090-0241(2008)134:6(790)>,
   Bray & Travasarou (2007) <doi:10.1061/(ASCE)1090-0241(2007)133:4(381)>,
   Bray & Macedo (2017) <doi:10.1016/j.soildyn.2017.05.024>,
   and the Bray and Macedo shallow-crustal update) with coherent
  correlated draws; (4) log-log inversion to the performance-based
  seismic coefficient kmax at user-specified displacement targets. All
  outputs are 'data.table' objects.

Interface to gather news from the 'News API', based on a multilevel query <https://newsapi.org/>. A personal API key is required.

Programmatically collect normalized news from
    (almost) any website. An 'R' clone of the
    <https://github.com/kotartemiy/newscatcher> 'Python' module.