An implementation of the statistical methods commonly
  used for advanced composite materials in aerospace applications.
  This package focuses on calculating basis values (lower tolerance
  bounds) for material strength properties, as well as performing the
  associated diagnostic tests. This package provides functions for
  calculating basis values assuming several different distributions,
  as well as providing functions for non-parametric methods of computing
  basis values. Functions are also provided for testing the hypothesis
  that there is no difference between strength and modulus data from an
  alternate sample and that from a "qualification" or "baseline" sample.
  For a discussion of these statistical methods and their use, see the
  Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4).
  Additional details about this package are available in the paper by
  Kloppenborg (2020, <doi:10.21105/joss.02265>).

A companion package to
  'cmstatr' <https://cran.r-project.org/package=cmstatr>. 'cmstatr' contains
  statistical methods that are published in the Composite Materials Handbook,
  Volume 1 (2012, ISBN: 978-0-7680-7811-4), while 'cmstatrExt' contains
  statistical methods that are not included in that handbook.

Conditional moments test, as proposed by Newey (1985) <doi:10.2307/1911011 > and Tauchen (1985) <doi:10.1016/0304-4076(85)90149-6>, useful to detect specification violations for models estimated by maximum likelihood. Methods for probit and tobit models are provided.

Creation and selection of (Advanced) Coupled Matrix and Tensor Factorization (ACMTF) and ACMTF-Regression (ACMTF-R) models. Selection of the optimal number of components can be done using 'ACMTF_modelSelection()' and 'ACMTFR_modelSelection()'. The CMTF and ACMTF methods were originally described by Acar et al., 2011 <doi:10.48550/arXiv.1105.3422> and Acar et al., 2014 <doi:10.1186/1471-2105-15-239>, respectively.

Various utilities for the complex multivariate Gaussian distribution and complex Gaussian processes.