Assumption-Lean and Data-Adaptive Post-Prediction Inference

Estimate Kinship and FST under Arbitrary Population Structure

Classify Digital PCR Droplets by Fitting Fluorescence
Populations

Genetic Analysis of Populations with Mixed Reproduction

Process and Visualize Evolve & Resequence Experiments

Reconstruct Human Populations of the Recent Past

A Fast, User-Friendly Implementation of Self-Organizing Maps
(SOMs)

Applied Techniques to Demographic and Time Series Analysis

Estimate Smooth and Linear Trends from Population Count Survey
Data

Create Data Frames for the Micro-Simulation of Human Populations

R package PopulationGrowthR version 0.1.1

R package populationPDXdesign version 1.0.3

Population Downscaling Using Areal Interpolation

Demographic Analysis and Data Manipulation

Genomic Breeding Tools: Genetic Variance Prediction and
Cross-Validation
R package PopVar version 1.3.2

Ridge-Type Penalized Estimation of a Potpourri of Models

Get the Same, Personal, Free 'TCP' Port over and over

Acceder Con R a Los Datos Del Portal De Hacienda

Create Useful Summaries of the Portal Data

Portmanteau Tests for Time Series Models

Portfolio Analysis, Including Numerical Methods for Optimization
of Portfolios
R package PortfolioAnalytics version 2.1.2

Automated Backtesting of Portfolios over Multiple Datasets
R package portfolioBacktest version 0.4.2

Test Investment Strategies with English-Like Code

Vine Based (Un)Conditional Portfolio Risk Measure Estimation

R package poseticDataAnalysis version 1.1.1

Valid Post-Selection Inference for Linear LS Regression

Post-Selection Inference for Adjusted R Squared

Post-Selection Inference via Simultaneous Confidence Intervals

Tutorials for Learning 'Positron' and for Using AI
R package positron.tutorials version 0.2.1

Individual Dose Optimization using Population Pharmacokinetics

Quotient of Random Variables Conditioned to the Positive
Quadrant

Power Simulation for Sequential Analyses and Multiple Hypotheses

Surgical Risk Prediction with the POSSUM Score Family

Estimating Marginal Effects with Prognostic Covariate Adjustment