All packages

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PAmeasures — 0.1.0

Prediction and Accuracy Measures for Nonlinear Models and for Right-Censored Time-to-Event Data

PAMhm — 0.1.2

Generate Heatmaps Based on Partitioning Around Medoids (PAM)

pamm — 1.122

Power Analysis for Random Effects in Mixed Models

PAMmisc — 1.12.1

Miscellaneous Functions for Passive Acoustic Analysis

pammtools — 0.5.93

Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis

PAMpal — 1.2.1

Load and Process Passive Acoustic Data

pampe — 1.1.2

Implementation of the Panel Data Approach Method for Program Evaluation

pamr — 1.57

Pam: Prediction Analysis for Microarrays

PAMscapes — 0.7.0

Tools for Summarising and Analysing Soundscape Data

pan — 1.9

Multiple Imputation for Multivariate Panel or Clustered Data

PANACEA — 1.0.1

Personalized Network-Based Anti-Cancer Therapy Evaluation

pAnalysis — 2.0

Benchmarking and Rescaling R2 using Noise Percentile Analysis

PanCanVarSel — 0.0.3

Pan-Cancer Variable Selection

pandemics — 0.1.0

Monitoring a Developing Pandemic with Available Data

pander — 0.6.5

An R 'Pandoc' Writer

pandoc — 0.2.0

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

pandocfilters — 0.1-6

Pandoc Filters for R

Pandora — 24.2.0

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

panelaggregation — 0.1.1

Aggregate Longitudinal Survey Data

PanelCount — 2.0.1

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

panelhetero — 1.0.1

Panel Data Analysis with Heterogeneous Dynamics

PanelMatch — 2.2.0

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

panelPomp — 1.4

Inference for Panel Partially Observed Markov Processes

panelr — 0.7.8

Regression Models and Utilities for Repeated Measures and Panel Data

panelsummary — 0.1.2.1

Create Publication-Ready Regression Tables with Panels

panelSUR — 0.1.0

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

PanelTM — 1.0

Two- And Three-Way Dynamic Panel Threshold Regression Model for Change Point Detection

panelvar — 0.5.5

Panel Vector Autoregression

panelView — 1.1.18

Visualizing Panel Data

panelWranglR — 1.2.13

Panel Data Wrangling Tools

pangaear — 1.1.0

Client for the 'Pangaea' Database

PanJen — 1.6

A Semi-Parametric Test for Specifying Functional Form

panstarrs — 0.2.2

Interface to the Pan-STARRS API

PantaRhei — 0.1.2

Plots Sankey Diagrams

papaja — 0.1.2

Prepare American Psychological Association Journal Articles with R Markdown

papci — 0.1.0

Prevalence Adjusted PPV Confidence Interval

papeR — 1.0-5

A Toolbox for Writing Pretty Papers and Reports

paperplanes — 0.0.1.9

Distance Recordings from a Paper Plane Folding/Flying Experiment

parabar — 1.1.1

Progress Bar for Parallel Tasks

parade — 0.1

Pen's Income Parades

paradox — 1.0.1

Define and Work with Parameter Spaces for Complex Algorithms

parafac4microbiome — 1.0.3

Parallel Factor Analysis Modelling of Longitudinal Microbiome Data

parallelDist — 0.2.6

Parallel Distance Matrix Computation using Multiple Threads

ParallelLogger — 3.3.1

Support for Parallel Computation, Logging, and Function Automation

parallelly — 1.38.0

Enhancing the 'parallel' Package

parallelMap — 1.5.1

Unified Interface to Parallelization Back-Ends

parallelMCMCcombine — 2.0

Combining Subset MCMC Samples to Estimate a Posterior Density

parallelpam — 1.4.3

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

ParallelPC — 1.2

Paralellised Versions of Constraint Based Causal Discovery Algorithms

parallelPlot — 0.4.0

`htmlwidget` for a Parallel Coordinates Plot

param2moment — 0.1.2

Raw, Central and Standardized Moments of Parametric Distributions

paramDemo — 1.0.1

Parametric and Non-Parametric Demographic Functions and Applications

parameters — 0.22.2

Processing of Model Parameters

paramGUI — 2.2.0

A Shiny GUI for some Parameter Estimation Examples

ParamHelpers — 1.14.1

Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning

paramhetero — 1.0.0

Numeric and Visual Comparisons of Heterogeneity in Parametric Models

paramlink — 1.1-5

Parametric Linkage and Other Pedigree Analysis in R

paramlink2 — 1.0.6

Parametric Linkage Analysis

params — 0.7.3

Simplify Parameters

paramsim — 0.1.0

Parameterized Simulation

paramtest — 0.1.0

Run a Function Iteratively While Varying Parameters

paran — 1.5.3

Horn's Test of Principal Components/Factors

ParBayesianOptimization — 1.2.6

Parallel Bayesian Optimization of Hyperparameters

parcats — 0.0.5

Interactive Parallel Categories Diagrams for 'easyalluvial'

parcr — 0.5.2

Construct Parsers for Structured Text Files

ParDNAcopy — 2.0

Parallel implementation of the "segment" function of package "DNAcopy"

Pareto — 2.4.5

The Pareto, Piecewise Pareto and Generalized Pareto Distribution

ParetoPosStable — 1.1

Computing, Fitting and Validating the PPS Distribution

parfm — 2.7.7

Parametric Frailty Models

pargasite — 2.1.0

Pollution-Associated Risk Geospatial Analysis Site

parglm — 0.1.7

Parallel GLM

pARI — 1.1.2

Permutation-Based All-Resolutions Inference

Paris2024Colours — 0.2.0

Color Palettes Inspired by Paris 2024 Olympic and Paralympic Games

parma — 1.7

Portfolio Allocation and Risk Management Applications

parmigene — 1.1.0

Parallel Mutual Information Estimation for Gene Network Reconstruction

parmsurvfit — 0.1.0

Parametric Models for Survival Data

paropt — 0.3.3

Parameter Optimizing of ODE-Systems

parqr — 0.1.0

Read in Multi-Part Parquet Files

parquetize — 0.5.7

Convert Files to Parquet Format

parsec — 1.2.7

Partial Orders in Socio-Economics

parsedate — 1.3.1

Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats

parsel — 0.3.0

Parallel Dynamic Web-Scraping Using 'RSelenium'

parsermd — 0.1.3

Formal Parser and Related Tools for R Markdown Documents

parseRPDR — 1.1.1

Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries

parSim — 0.1.5

Parallel Simulation Studies

parsnip — 1.2.1

A Common API to Modeling and Analysis Functions

PartCensReg — 1.39

Estimation and Diagnostics for Partially Linear Censored Regression Models Based on Heavy-Tailed Distributions

partDSA — 0.9.14

Partitioning Using Deletion, Substitution, and Addition Moves

partialised — 0.1.1

Partialised Functions

Partiallyoverlapping — 2.0

Partially Overlapping Samples Tests

PartialNetwork — 1.0.4

Estimating Peer Effects Using Partial Network Data

particle.swarm.optimisation — 1.0

Optimisation with Particle Swarm Optimisation

particles — 0.2.3

A Graph Based Particle Simulator Based on D3-Force

parTimeROC — 0.1.0

Parametric Time-Dependent Receiver Operating Characteristic

partition — 0.2.1

Agglomerative Partitioning Framework for Dimension Reduction

partitionBEFsp — 1.0

Methods for Calculating the Loreau & Hector 2001 BEF Partition

partitionComparison — 0.2.6

Implements Measures for the Comparison of Two Partitions

partitionMetric — 1.1

Compute a distance metric between two partitions of a set

partitions — 1.10-7

Additive Partitions of Integers

partools — 1.1.6

Tools for the 'Parallel' Package

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