development

A Collection of Functions to Implement a Class for Univariate Polynomial Manipulations

Polynomials in R

Paternity Exclusion in Autopolyploid Species

Calculate Several Polypharmacy Indicators

Helper Functions for Orthogonal Polynomials

QTL Analysis in Autopolyploid Bi-Parental F1 Populations

Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids

Polynomial Regression

Tools for Polyploid Microsatellite Analysis

Simulate and Test Marker Dosage for Dominant Markers in Autopolyploids

Bayesian Mixture Models for Marker Dosage in Autopolyploids

Estimate Causal Polytree from Data

Trend Classification Algorithm

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)

Graphical Check for Proportional Odds Assumption

Infrastructure for Partially Observable Markov Decision Processes (POMDP)

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

Person-Oriented Method and Perturbation on the Model

Presence-Only for Marked Point Process

Phylogenetic Organization of Metagenomic Signals

Poolability Tests in Panel Data

Partial Orders and Relations

Object Pooling

Approximate Bayesian Computation with Pooled Sequencing Data

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 CV…

Pooled Mean Group Estimation of Dynamic Heterogenous Panels

Genetic Analysis of Pooled Samples

Computing f-Statistics and Building Admixture Graphs Based on Allele Count or Pool-Seq Read Count …

Simulates Pooled Sequencing Genetic Data

Fit Poolwise Regression Models

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

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

Population-Level Cell-Cell Communication Analysis Tools

Demographic Modelling Using Projection Matrices

Posterior Predictive (PoP) Design for Phase I Clinical Trials

Population (and Individual) Optimal Experimental Design

Functions for Epidemiological Analysis using Population Data

Streamline Population Genomic and Genetic Analyses

Accompaniment to Population Genetics with R: An Introduction for Life Scientists

A Simple Framework to Analyse Population and Landscape Genetic Data

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

Population Pyramids

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

Models for Simulating Populations

Linear Population Growth Scenarios

Designing Population PDX Studies

Population Downscaling Using Areal Interpolation

Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation

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

Analysing Equity Portfolios

Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios

Automated Backtesting of Portfolios over Multiple Datasets

Small/Large Sample Portfolio Optimization

Extracting a Data Portion