All packages

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politeness — 0.9.3

Detecting Politeness Features in Text

politicsR — 0.1.0

Calculating Political System Metrics

polle — 1.5

Policy Learning

pollen — 0.82.0

Analysis of Aerobiological Data

pollimetry — 1.0.1

Estimate Pollinator Body Size and Co-Varying Ecological Traits

pollster — 0.1.6

Calculate Crosstab and Topline Tables of Weighted Survey Data

polmineR — 0.8.9

Verbs and Nouns for Corpus Analysis

polspline — 1.1.25

Polynomial Spline Routines

polyaAeppli — 2.0.2

Implementation of the Polya-Aeppli Distribution

polyapost — 1.7-1

Simulating from the Polya Posterior

Polychrome — 1.5.1

Qualitative Palettes with Many Colors

polyclip — 1.10-7

Polygon Clipping

polycor — 0.8-1

Polychoric and Polyserial Correlations

PolycrossDesigns — 1.1.0

Polycross Designs ("PolycrossDesigns")

polyCub — 0.9.1

Cubature over Polygonal Domains

polyglotr — 1.5.2

Translate Text

PolyHaplotyper — 1.0.1

Assignment of Haplotypes Based on SNP Dosages in Diploids and Polyploids

polyhedralCubature — 1.1.0

Multiple Integration over Convex Polyhedra

polylabelr — 0.2.0

Find the Pole of Inaccessibility (Visual Center) of a Polygon

polymapR — 1.1.6

Linkage Analysis in Outcrossing Polyploids

polyMatrix — 0.9.16

Infrastructure for Manipulation Polynomial Matrices

polynom — 1.4-1

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

PolynomF — 2.0-8

Polynomials in R

PolyPatEx — 0.9.2

Paternity Exclusion in Autopolyploid Species

polypharmacy — 1.0.0

Calculate Several Polypharmacy Indicators

polypoly — 0.0.3

Helper Functions for Orthogonal Polynomials

polyqtlR — 0.1.1

QTL Analysis in Autopolyploid Bi-Parental F1 Populations

polyRAD — 2.0.0

Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids

polyreg — 0.8.0

Polynomial Regression

polysat — 1.7-7

Tools for Polyploid Microsatellite Analysis

polySegratio — 0.2-5

Simulate and Test Marker Dosage for Dominant Markers in Autopolyploids

polySegratioMM — 0.6-4

Bayesian Mixture Models for Marker Dosage in Autopolyploids

PolyTree — 0.0.1

Estimate Causal Polytree from Data

PolyTrend — 1.2

Trend Classification Algorithm

polywog — 0.4-1

Bootstrapped Basis Regression with Oracle Model Selection

POMADE — 0.2.0

Power for Meta-Analysis of Dependent Effects

POMaSPU — 1.0.0

Adaptive Association Tests for Multiple Phenotypes using Proportional Odds Model (POM-aSPU)

pomcheckr — 0.1.1

Graphical Check for Proportional Odds Assumption

pomdp — 1.2.3

Infrastructure for Partially Observable Markov Decision Processes (POMDP)

pomdpSolve — 1.0.4

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

Pomic — 1.0.4

Pattern Oriented Modelling Information Criterion

pomodoro — 3.8.0

Predictive Power of Linear and Tree Modeling

pomp — 5.11

Statistical Inference for Partially Observed Markov Processes

pompom — 0.2.1

Person-Oriented Method and Perturbation on the Model

pompp — 0.1.3

Presence-Only for Marked Point Process

POMS — 1.0.1

Phylogenetic Organization of Metagenomic Signals

pooh — 0.3-2

Partial Orders and Relations

pool — 1.0.3

Object Pooling

poolABC — 1.0.0

Approximate Bayesian Computation with Pooled Sequencing Data

PoolBal — 0.1-0

Balancing Central and Marginal Rejection of Pooled p-Values

PoolDilutionR — 1.0.0

Calculate Gross Biogeochemical Flux Rates from Isotope Pool Dilution Data

PooledCohort — 0.0.2

Predicted Risk for CVD using Pooled Cohort Equations, PREVENT Equations, and Other Contemporary CVD Risk Calculators

PooledMeanGroup — 1.0

Pooled Mean Group Estimation of Dynamic Heterogenous Panels

pooledpeaks — 1.0.6

Genetic Analysis of Pooled Samples

poolfstat — 2.2.0

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

poolHelper — 1.1.0

Simulates Pooled Sequencing Genetic Data

pooling — 1.1.2

Fit Poolwise Regression Models

poolr — 1.1-1

Methods for Pooling P-Values from (Dependent) Tests

PoolTestR — 0.1.3

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

poolVIM — 1.0.0

Gene-Based Association Tests using the Actual Impurity Reduction (AIR) Variable Importance

poorman — 0.2.7

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

pop — 0.1

A Flexible Syntax for Population Dynamic Modelling

pop.lion — 1.0.1

Models for Simulating Lion Populations

pop.wolf — 1.0

Models for Simulating Wolf Populations

popbayes — 1.2.0

Bayesian Model to Estimate Population Trends from Counts Series

popbio — 2.8

Construction and Analysis of Matrix Population Models

popdemo — 1.3-1

Demographic Modelling Using Projection Matrices

PoPdesign — 1.1.0

Posterior Predictive (PoP) Design for Phase I Clinical Trials

PopED — 0.6.0

Population (and Individual) Optimal Experimental Design

popEpi — 0.4.12

Functions for Epidemiological Analysis using Population Data

PopGenHelpR — 1.3.2

Streamline Population Genomic and Genetic Analyses

popgenr — 0.2

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

PopGenReport — 3.1

A Simple Framework to Analyse Population and Landscape Genetic Data

POPInf — 1.0.0

Assumption-Lean and Data-Adaptive Post-Prediction Inference

popkin — 1.3.23

Estimate Kinship and FST under Arbitrary Population Structure

popPCR — 0.1.1.1

Classify Digital PCR Droplets by Fitting Fluorescence Populations

poppr — 2.9.6

Genetic Analysis of Populations with Mixed Reproduction

popPyramid — 0.1.1

Population Pyramids

popReconstruct — 1.0-6

Reconstruct Human Populations of the Recent Past

popstudy — 1.0.1

Applied Techniques to Demographic and Time Series Analysis

poptrend — 0.2.0

Estimate Smooth and Linear Trends from Population Count Survey Data

population — 0.3

Models for Simulating Populations

PopulationGrowthR — 0.1.1

Linear Population Growth Scenarios

populationPDXdesign — 1.0.3

Designing Population PDX Studies

populR — 0.2.1

Population Downscaling Using Areal Interpolation

poputils — 0.3.3

Demographic Analysis and Data Manipulation

porridge — 0.3.3

Ridge-Type Penalized Estimation of a Potpourri of Models

port4me — 0.7.1

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

PortalHacienda — 0.1.7

Acceder Con R a Los Datos Del Portal De Hacienda

portalr — 0.4.3

Create Useful Summaries of the Portal Data

portes — 6.0

Portmanteau Tests for Time Series Models

portfolio — 0.5-3

Analysing Equity Portfolios

portfolio.optimization — 1.0-0

Contemporary Portfolio Optimization

PortfolioAnalytics — 2.0.0

Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios

portfolioBacktest — 0.4.1

Automated Backtesting of Portfolios over Multiple Datasets

PortfolioOptim — 1.1.1

Small/Large Sample Portfolio Optimization

portion — 0.1.0

Extracting a Data Portion

portn — 1.0.0

Portfolio Analysis for Nature

PortRisk — 1.1.0

Portfolio Risk Analysis

portsort — 0.1.0

Factor-Based Portfolio Sorts

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