Approximates Univariate Continuous Functions Through Piecewise
Linear Regression

PWIGLS for Two-Level Multivariate and Multilevel Linear Models

Power Analyses for Common Designs (Power to the People)

Power Analysis of Flexible ANOVA Designs and Related Tests

Statistical Power Simulation for Testing the Rasch Model

Statistical Power, Sample Size, and Detectable Effect
Calculations

Penn World Table (Versions 5.6, 6.x, 7.x)

Flexible Pycnophylactic Interpolation to Discrete Global and
Local Grid Systems
R package pycnogrid version 0.2.0

Pena-Yohai Initial Estimator for Robust S-Regression

Lint 'Python' Files with a R Command or a 'RStudio' Addin

Provides a 'PySpark' Back-End for the 'sparklyr' Package

R package PytrendsLongitudinalR version 0.1.4

Interpolating Age-Specific Mortality Rates at All Ages

Types and Features for Object Oriented Programming

Quantile Autoregressive Distributed Lag Unit Root Test

Ensemble Quadratic and Affine Invariant Markov Chain Monte Carlo

Automatic Item Generator for Quantitative Multiple-Choice Items

Heuristics for the Quadratic Assignment Problem (QAP)

Approximation to the Survival Functions of Quadratic Forms of
Gaussian Variables
R package Qapprox version 0.2.0

Quantile Autoregressive Distributed Lag Model

Prediction Intervals for Quantile Autoregression

Quantile Regression for Binary Longitudinal Data

Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax

Tools for the Analysis of Clustered Data in QCA

Enhanced Robustness Tests for Qualitative Comparative Analysis

Estimate Power and Required Sample Size in QCA

Postprocessing of Rule Classification Models Learnt on Quantized
Data
R package qCBA version 1.0.2

Quality Control Charts under Repetitive Sampling

Fast and Easy Quality Control of EWAS Results Files

Quality Control of Genome Wide Association Study Results

Quality Control–based Robust LOESS Signal Correction

Sure Independence Screening via Quantile Correlation and
Composite Quantile Correlation
R package QCSIS version 0.1

Bridging the Gap Between Qualitative Data and Quantitative
Analysis