QTL Analysis in Autopolyploid Bi-Parental F1 Populations

Genotype Calling with Uncertainty from Sequencing Data in
Polyploids and Diploids
R package polyRAD version 2.0.0

Tools for Polyploid Microsatellite Analysis

Simulate and Test Marker Dosage for Dominant Markers in
Autopolyploids

Bayesian Mixture Models for Marker Dosage in Autopolyploids

Bootstrapped Basis Regression with Oracle Model Selection

Power for Meta-Analysis of Dependent Effects

Adaptive Association Tests for Multiple Phenotypes using
Proportional Odds Model (POM-aSPU)
R package POMaSPU version 1.0.0

Graphical Check for Proportional Odds Assumption

Infrastructure for Partially Observable Markov Decision
Processes (POMDP)
R package pomdp version 1.2.5

Interface to 'pomdp-solve' for Partially Observable Markov
Decision Processes

Pattern Oriented Modelling Information Criterion

Predictive Power of Linear and Tree Modeling

Statistical Inference for Partially Observed Markov Processes
R package pomp version 6.4

Person-Oriented Method and Perturbation on the Model

Phylogenetic Organization of Metagenomic Signals

Balancing Central and Marginal Rejection of Pooled p-Values

Calculate Gross Biogeochemical Flux Rates from Isotope Pool
Dilution Data

Predicted Risk for CVD using Pooled Cohort Equations, PREVENT
Equations, and Other Contemporary CVD Risk Calculators
R package PooledCohort version 0.0.2

Pooled Mean Group Estimation of Dynamic Heterogenous Panels

Computing f-Statistics and Building Admixture Graphs Based on
Allele Count or Pool-Seq Read Count Data
R package poolfstat version 3.0.0

Simulates Pooled Sequencing Genetic Data

Methods for Pooling P-Values from (Dependent) Tests

Prevalence and Regression for Pool-Tested (Group-Tested) Data

Gene-Based Association Tests using the Actual Impurity Reduction
(AIR) Variable Importance
R package poolVIM version 1.0.0

A Poor Man's Dependency Free Recreation of 'dplyr'

A Flexible Syntax for Population Dynamic Modelling

Bayesian Model to Estimate Population Trends from Counts Series

Construction and Analysis of Matrix Population Models