matsqrt

Returns the square root of a diagonalizable matrix.

internal

Analyzes finite mixture models for various parametric and semiparametric settings.  This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic, mixturegrams, and model selection criteria).  Bayesian estimation of mixtures-of-linear-regressions models is available as well as a novel data depth method for obtaining credible bands.  This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772 and the Chan Zuckerberg Initiative: Essential Open Source Software for Science (Grant No. 2020-255193).

Derek S. Young

mixtools

Tools for Analyzing Finite Mixture Models

Derek Young

Tatiana Benaglia

Didier Chauveau

David Hunter

Kedai Cheng

Ryan Elmore

Thomas Hettmansperger

Hoben Thomas

Fengjuan Xuan

matsqrt function

<dl> <dt>x</dt>
<dd>An nxn diagonalizable matrix.</dd></dl>

Arguments

Calculates the Square Root of a Diagonalizable Matrix — matsqrt

<dl>

 <dt>x</dt>
<dd>An nxn diagonalizable matrix.</dd>

</dl>

Calculates the Square Root of a Diagonalizable Matrix

matsqrt: Calculates the Square Root of a Diagonalizable Matrix

Description

Usage

Value

Arguments

Details

See Also

Examples