Recalibration Methods for Improved Clinical Utility of Risk
Scores
R package ClinicalUtilityRecal version 0.1.0

Hemodynamic Calculations from Clinical Monitoring

Clinical Natural Language Processing using 'spaCy', 'scispaCy',
and 'medspaCy'
R package clinspacy version 1.0.2

General Utility Functions for Analysis of Clinical Data

Calculating Likelihoods by Pedigree Paring

Read and Write from the System Clipboard

R package CliquePercolation version 0.4.0

Constrained Inference for Linear Mixed Effects Models

Fitting Exact Conditional Logistic Regression with Lasso and
Elastic Net Penalties
R package clogitL1 version 1.5

Sparse Conditional Logistic Regression for Matched Studies

Estimate Growth Rates from Phylogenetic Trees

Seeking and Finding Clones in Copy Number and Sequencing Data

Composite Likelihood Inference and Diagnostics for Replicated
Spatial Ordinal Data
R package clordr version 1.7.0

Streamlined Interface to Interact with Cloud Storage Platforms

Interface to the Google Cloud Machine Learning Platform

Compute Price of Production and Labor Values

Curve Linear Regression via Dimension Reduction

Clinical and Laboratory Standards Institute (CLSI) EP15-A3
Calculations

Central Limit Theorem Experiments (Theoretical and Simulation)

Classification Using Binary Procrustes Rotation

Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
Corrections

Multidimensional Cluster Generation Using Support Lines

Bootstrap a Clustering Solution to Establish the Stability of
the Clusters

A Procedure for Cluster Evolution Analytics

Simultaneous Semi-Parametric Estimation of Clustering and
Regression

ROC Analysis in Three-Class Classification Problems for
Clustered Data

Simultaneous Detection of Clusters and Cluster-Specific Genes in
High-Throughput Transcriptome Data
R package ClussCluster version 0.1.0

Statistical Methods for Analyzing Clustered Matched Pair Data

Identifying Similar T Cell Receptor Hyper-Variable Sequences
with 'ClusTCR2'

Clusters of Effects Curves in Quantile Regression Models

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et
al.