Package: miscF 0.1-5

miscF: Miscellaneous Functions

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

Authors:Dai Feng

# Install 'miscF' in R:

install.packages('miscF', repos = c('https://daifengstat.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 4 years agofrom:668d9bd3b0. Checks:OK: 1 NOTE: 8. Indexed: yes.

Help page	Topics
Curve Fitting Using Piecewise Polynomials with Unknown Number and Location of Knots	curve.polynomial.rjmcmc
Estimate the Parameters of a Multivariate Normal Model by the Bayesian Methods	mvn.bayes
Unbiased Estimate of Parameters of a Multivariate Normal Distribution	mvn.ub
Estimate Parameters of a Multivariate Skew Normal Distribution Using the MCMC	mvsn.mcmc
Estimate Parameters of a Multivariate Skew t Distribution Using the MCMC	mvst.mcmc
Estimate Parameters of a Multivariate t Distribution Using the ECME Algorithm	mvt.ecme
Estimate Parameters of a Multivariate t Distribution Using the MCMC	mvt.mcmc
Generate Random Samples from Different Multinomial Distributions with the Same Number of Classes	rMultinom
Generate Random Samples from a Multivariate Skew Normal Distribution	rmvsn
Generate Random Samples from a Multivariate Skew t Distribution	rmvst
Spatial Modeling by a Bayesian Hierarchical Linear Mixed-effects Model	spatial.lme.mcmc
Univariate Normal Mixture (UVNM) Model with Unknown Number of Components	uvnm.rjmcmc