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

Exploring Multivariate Spaces with Probability Boxes

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

Principal Component of Explained Variance

Stan Models for the Paired Comparison Factor Model

Computation of Ancestry Scores with Mixed Families and Unrelated
Individuals
R package PCFAM version 1.0

Preconditioned Conjugate Gradient Algorithm for solving Ax=b
R package pcg version 1.1

Reconstruction of Causal Networks for Data with Random Genetic
Effects
R package pcgen version 0.2.0

Partial Correlation Graph with Information Incorporation

Piecewise Constant Hazard Models for Censored and Truncated Data
R package pch version 2.1

Bayesian Network Learning with the PCHC and Related Algorithms
R package pchc version 1.2

A Collection of Process Capability Index Functions

Implementation of POSIXct Work-Alike for 365 and 360 Day
Calendars

IRT Models for Polytomous and Continuous Item Responses