miscF v0.1-4

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Miscellaneous Functions

Various functions for random number generation, density estimation, classification, curve fitting, and spatial data analysis.

Functions in miscF

Name Description
mvt.mcmc Estimate Parameters of a Multivariate t Distribution Using the MCMC
mvt.ecme Estimate Parameters of a Multivariate t Distribution Using the ECME Algorithm
mvsn.mcmc Estimate Parameters of a Multivariate Skew Normal Distribution Using the MCMC
mvn.ub Unbiased Estimate of Parameters of a Multivariate Normal Distribution
rMultinom Generate Random Samples from Different Multinomial Distributions with the Same Number of Classes
mvst.mcmc Estimate Parameters of a Multivariate Skew t Distribution Using the MCMC
mvn.bayes Estimate the Parameters of a Multivariate Normal Model by the Bayesian Methods
rmvsn Generate Random Samples from a Multivariate Skew Normal Distribution
curve.polynomial.rjmcmc Curve Fitting Using Piecewise Polynomials with Unknown Number and Location of Knots
rmvst Generate Random Samples from a Multivariate Skew t Distribution
spatail.lme.mcmc Spatial Modeling by a Bayesian Hierarchical Linear Mixed-effects Model
uvnm.rjmcmc Univariate Normal Mixture (UVNM) Model with Unknown Number of Components
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License GPL
NeedsCompilation yes
Packaged 2018-02-16 21:41:16 UTC; dai
Repository CRAN
Date/Publication 2018-02-16 22:59:53 UTC

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