Power Analysis for Random Effects in Mixed Models

Miscellaneous Functions for Passive Acoustic Analysis

Piece-Wise Exponential Additive Mixed Modeling Tools for
Survival Analysis

Implementation of the Panel Data Approach Method for Program
Evaluation
R package pampe version 1.1.2

Pam: Prediction Analysis for Microarrays

Tools for Summarising and Analysing Soundscape Data

Multiple Imputation for Multivariate Panel or Clustered Data
R package pan version 1.9

Personalized Network-Based Anti-Cancer Therapy Evaluation

Benchmarking and Rescaling R2 using Noise Percentile Analysis

Manage and Run Universal Converter 'Pandoc' from 'R'

Retrieve Data using the API of the 'Pandora' Data Platform

R package panelaggregation version 0.1.1

Random Effects and/or Sample Selection Models for Panel Count
Data

Panel Data Analysis with Heterogeneous Dynamics

Matching Methods for Causal Inference with Time-Series
Cross-Sectional Data

Inference for Panel Partially Observed Markov Processes

Regression Models and Utilities for Repeated Measures and Panel
Data

Create Publication-Ready Regression Tables with Panels

Two-Way Error Component SUR Systems Estimation on Unbalanced
Panel Data

Two- And Three-Way Dynamic Panel Threshold Regression Model for
Change Point Detection
R package PanelTM version 1.0

A Semi-Parametric Test for Specifying Functional Form

Building PRS Models Based on Summary Statistics of GWAs

Prepare American Psychological Association Journal Articles with
R Markdown
R package papaja version 0.1.2

Prevalence Adjusted PPV Confidence Interval

A Toolbox for Writing Pretty Papers and Reports

Distance Recordings from a Paper Plane Folding/Flying Experiment

Define and Work with Parameter Spaces for Complex Algorithms

Parallel Distance Matrix Computation using Multiple Threads

Support for Parallel Computation, Logging, and Function
Automation

Unified Interface to Parallelization Back-Ends

Combining Subset MCMC Samples to Estimate a Posterior Density
R package parallelMCMCcombine version 2.0

Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data