Packages by Michail Tsagris

BGFD — 0.1

Bell-G and Complementary Bell-G Family of Distributions

CCd — 1.0

The Cauchy-Cacoullos (Discrete Cauchy) Distribution

Compositional — 7.1

Compositional Data Analysis

CompositionalML — 1.0

Machine Learning with Compositional Data

CompositionalRF — 1.0

Multivariate Random Forest with Compositional Responses

Cronbach — 0.1

Cronbach's Alpha

Directional — 6.9

A Collection of Functions for Directional Data Analysis

MLE — 1.2

Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions

MN — 1.0

Matrix Normal Distribution

PNAR — 1.7

Poisson Network Autoregressive Models

binomCI — 1.1

Confidence Intervals for a Binomial Proportion

bivpois — 1.0

Bivariate Poisson Distribution

cauchypca — 1.3

Robust Principal Component Analysis Using the Cauchy Distribution

choosepc — 1.0

Choose the Number of Principal Components via Recistruction Error

cols — 1.2

Constrained Ordinary Least Squares

corrfuns — 1.0

Correlation Coefficient Related Functions

crwbmetareg — 1.0

Cluster Robust Wild Bootstrap Meta Regression

dCovTS — 1.4

Distance Covariance and Correlation for Time Series Analysis

dcorVS — 1.0

Variable Selection Algorithms Using the Distance Correlation

epilogi — 1.1

The 'epilogi' Variable Selection Algorithm for Continuous Data

fertilmodel — 1.1

Fertility Models

fsn — 0.2

Rosenthal's Fail Safe Number and Related Functions

geppe — 1.0

Generalised Exponential Poisson and Poisson Exponential Distributions

gp — 1.1

Maximum Likelihood Estimation of the Generalized Poisson Distribution

highd2means — 1.0

High-Dimensional Tests for Two Population Mean Vectors

mvcauchy — 1.1

Multivariate Cauchy Distribution

mvcor — 1.0

Correlation Coefficients for Multivariate Data

mvhtests — 1.0

Multivariate Hypothesis Tests

nlgm — 1.0

Non Linear Growth Models

pchc — 1.2

Bayesian Network Learning with the PCHC and Related Algorithms

plattice — 1.0

Lattice Plot for Panel Data

regda — 1.0

Regularised Discriminant Analysis