'Amazon Web Services' Networking & Content Delivery Services

'Amazon Web Services' Security, Identity, & Compliance Services
R package paws.security.identity version 0.5.0

Pain Assessment at Withdrawal Speeds (PAWS)

Adding Progress Bar to '*apply' Functions

Pedigree/Family-Based Genetic Association Tests Analysis and
Power

Position Balanced and Nearly Position Balanced Block Designs

Protracted Birth-Death Model of Diversification

R Interface to MPI for HPC Clusters (Programming with Big Data
Project)
R package pbdMPI version 0.5-1

Programming with Big Data -- Scalable Linear Algebra Packages

Programming with Big Data -- Interface to 'ZeroMQ'

Partially Balanced Incomplete Block Designs

A Set of Datasets Used in My Classes or in the Book 'Modele
Liniowe i Mieszane w R, Wraz z Przykladami w Analizie Danych'
R package PBImisc version 1.0

Estimating the Probability of Being in Response and Related
Outcomes
R package PBIR version 0.1-0

Parametric Bootstrap, Kenward-Roger and Satterthwaite Based
Methods for Test in Mixed Models
R package pbkrtest version 0.5.2

Tracking the Progress of Mc*pply with Progress Bar

Permutation Based Non-Parametric Analysis of CRISPR Screen Data

Mapping Fisheries Data and Spatial Analysis Tools

GUI Tools Made Easy: Interact with Models and Explore Data

Probabilities for Bivariate Normal Distribution

Fast Principal Component Analysis for Outlier Detection

Tools for Principal Component Analysis-Based Data Structure
Comparisons
R package PCADSC version 0.8.0

Calibration of P-Values for Point Null Hypothesis Testing

Methods for Graphical Models and Causal Inference

Match Cases to Controls Based on Genotype Principal Components

Randomized Singular Value Decomposition Algorithms with
'RcppEigen'

Finding the Number of Significant Principal Components

Dynamic Principal Components for Periodically Correlated
Functional Time Series
R package pcdpca version 0.4

Proximity Catch Digraphs and Their Applications

Underlying Graphs of Proximity Catch Digraphs and Their
Applications

Model Fitting to Progressively Censored Mixture Data