Maximum Likelihood Analysis of Circular Data

Statistical Analysis of Circular Data using Nonnegative
Trigonometric Sums (NNTS) Models
R package CircNNTSR version 2.3

Multivariate Circular Data using MNNTS Models

Circular Data using Symmetric NNTS Models
R package CircNNTSRSymmetric version 0.1.0

Detection of Outliers in Circular-Circular Regression

Circular Statistics, from "Topics in Circular Statistics" (2001)

Extreme Value Analysis for Circular Data

Recent Methods for Kernel Density Estimation of Circular Data

Fast Silhouette on Circular or Linear Data Clusters
R package CircularSilhouette version 0.0.1

Analysis and Visualization of Circular Data

Constrained Iteratively Reweighted Least Squares

Covariates, Interaction, and Selection for DGLM

A Correlation Indicator Based on Spatial Patterns

Perform Forward and Backwards Chasing in Evidence Syntheses

Clinical Trials with Intercurrent Events Simulator

Estimation of Cell Infiltration Based on Cell Crosstalk

Confidence or Prediction Intervals, Quantiles, and Probabilities
for Statistical Models
R package ciTools version 0.6.1

Customer Intelligence Tool for Rapid Understandable Segmentation

Controlled Interrupted Time Series Analysis and Visualization

Confidence Intervals Utilizing Uncertain Prior Information

Kabaila and Giri (2009) Confidence Interval

Copula-Based Joint Analysis of Multiple Phenotypes

R Client for 'Customer Journey Analytics' ('CJA') API

Heterogeneous Effects Analysis of Conjoint Experiments

Canonical Joint and Individual Variation Explained (CJIVE)

Client for the Comprehensive Knowledge Archive Network ('CKAN')
API

Composite Kernel Association Test for Pharmacogenetics Studies

Composite Kernel Machine Regression Based on Likelihood Ratio
Test

Optimal, Fast, and Reproducible Univariate Clustering

Measuring Morphological Diversity and Evolutionary Tempo

C++ Implementations of Phylogenetic Cladogenesis Calculations

Classical Age-Depth Modelling of Cores from Deposits

Time Series Modeling for Climate Change Proxies

Detecting Class Overlapping Regions in Multidimensional Data