rPackages

An Implementation of Rapid Assessment Method for Older People

Facilitate Analysis of Proteomic Data from Olink

'Ollama' Language Models

Computes some Measures of OLL-G Family of Distributions

Odd Log-Logistic Generalized Gamma Probability Distribution

Optimal Linear Regression

Tools for Building OLS Regression Models

Ordinary Least Squares Trajectory Analysis

'Shiny' Application for Olympic Data

Omega-Generic: Composite Reliability of Multidimensional Measures

Poly-Omic Prediction of Complex TRaits

Open-Source Software for 'Omic' Data Analysis and Visualization

'--omics' Data Analysis Toolbox

Biosensor Development using Omics Data

Data Integration with Two-Way Orthogonal Partial Least Squares

Nominating Quality Control Outliers in Genomic Profiling Studies

Omics Data Process Toolbox

Cell-Type-Specific Association Testing in Bulk Omics Experiments

Univariate Bootstrapping and Other Things

Helper Tools for Managing Data, Dates, Missing Values, and Text

A Modified Fisher’s Method to Test Overall Gene-Level Effect

Creation of Mock Observational Medical Outcomes Partnership Common Data Model

Model and Solve Mixed Integer Linear Programs

Build and Transform 'SVG' Objects

A Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection

Data Sets for Keith McNulty's Handbook of Graphs and Networks in People Analytics

Test of Between-Group Differences in the Onset of Senescence

Names Given to Babies in Ontario Between 1917 and 2018

Bindings for Onboard Data's Building Data API

Templated Reporting Workflows in Word and PowerPoint

Execute Expensive Operations Only Once

Analyze Data from Electronic Adherence Monitoring Devices

Bayesian Logistic Regression for Oncology Dose-Escalation Trials

A Comprehensive Collection of Cancer Types and Cancer-Related Datasets

Aids in the Analysis of Genes Influencing Cancer Survival

Bayesian Multi-State Models for Early Oncology

Drug Response Modeling and Biomarker Discovery

Predict Cancer Subtypes Based on TCGA Data using Machine Learning Method

Estimating Oncogenetic Trees

Machine Learning for S.E.O

Fast, Universal, and Intuitive Computing on Large-Scale Single-Cell Data

Validate, Share, and Download Data

Phase II Single-Arm Two-Stage Designs with Time-to-Event Outcomes

One-Arm Clinical Trial Designs for Time-to-Event Endpoint

Maximum Homogeneity Clustering for Univariate Data

Fast Onehot Encoding for Data.frames

Estimates OIPP and OIZTNB Regression Models

Interact with the 'OneLogin' API

Construction of Genetic Maps in Experimental Crosses

R Wrapper for the 'OneMap

One Rule Machine Learning Classification Algorithm with Enhancements

One-Sample Log-Rank Test

One Sample Mendelian Randomization and Instrumental Variable Analyses

Observers Needed to Evaluate Subjective Tests

One-Step Estimation

Run Code Only Once

Deal with One and Two (Normal) Samples

One-Way Tests in Independent Groups Designs