All packages

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pairsD3 — 0.1.3

D3 Scatterplot Matrices

PairViz — 1.3.6

Visualization using Graph Traversal

pairwise — 0.6.1-0

Rasch Model Parameters by Pairwise Algorithm

pairwiseCI — 0.1-27

Confidence Intervals for Two Sample Comparisons

pak — 0.7.2

Another Approach to Package Installation

PakPC2017 — 1.0.0

Pakistan Population Census 2017

PakPC2023 — 0.1.0

Pakistan Population Census 2023

PakPMICS2014Ch — 0.1.0

Multiple Indicator Cluster Survey (MICS) 2014 Child Questionnaire Data for Punjab, Pakistan

PakPMICS2014HH — 0.1.0

Multiple Indicator Cluster Survey (MICS) 2014 Household Questionnaire Data for Punjab, Pakistan

PakPMICS2014HL — 0.1.1

Multiple Indicator Cluster Survey (MICS) 2014 Household Listing Questionnaire Data for Punjab, Pakistan

PakPMICS2014Wm — 0.1.1

Multiple Indicator Cluster Survey (MICS) 2014 Women Questionnaire Data for Punjab, Pakistan

PakPMICS2018 — 1.0.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Data for Punjab, Pakistan

PakPMICS2018bh — 0.1.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Birth History of Children Questionnaire Data for Punjab, Pakistan

PakPMICS2018fs — 0.1.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Children Age 5-17 Questionnaire Data for Punjab, Pakistan

PakPMICS2018hh — 0.1.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Household Questionnaire Data for Punjab, Pakistan

PakPMICS2018mm — 0.1.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal Mortality Questionnaire Data for Punjab, Pakistan

PakPMICS2018mn — 0.1.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Men Questionnaire Data for Punjab, Pakistan

palaeoSig — 2.1-3

Significance Tests for Palaeoenvironmental Reconstructions

palaeoverse — 1.3.0

Prepare and Explore Data for Palaeobiological Analyses

palasso — 0.0.9

Paired Lasso Regression

pald — 0.0.4

Partitioned Local Depth for Community Structure in Data

paleobioDB — 1.0.0

Download and Process Data from the Paleobiology Database

paleobuddy — 1.0.0

Simulating Diversification Dynamics

paleoDiv — 0.3.0

Extracting and Visualizing Paleobiodiversity

paleomorph — 0.1.4

Geometric Morphometric Tools for Paleobiology

paleotree — 3.4.5

Paleontological and Phylogenetic Analyses of Evolution

paleoTS — 0.5.3

Analyze Paleontological Time-Series

palette — 0.0.2

Color Scheme Helpers

paletteer — 1.6.0

Comprehensive Collection of Color Palettes

paletteknife — 0.4.2

Create Colour Scales and Legend from Continuous or Categorical Vectors

palettes — 0.2.0

Methods for Colour Vectors and Colour Palettes

palettesForR — 0.1.2

GPL Palettes Copied from 'Gimp' and 'Inkscape'

palettetown — 0.1.1

Use Pokemon Inspired Colour Palettes

palinsol — 1.0

Insolation for Palaeoclimate Studies

palm — 1.1.5

Fitting Point Process Models via the Palm Likelihood

palmerpenguins — 0.1.1

Palmer Archipelago (Antarctica) Penguin Data

PaLMr — 0.2.0

Interface for 'Google Pathways Language Model 2 (PaLM 2)'

palmtree — 0.9-1

Partially Additive (Generalized) Linear Model Trees

palr — 0.4.0

Colour Palettes for Data

pals — 1.8

Color Palettes, Colormaps, and Tools to Evaluate Them

PamBinaries — 1.9.0

Read and Process 'Pamguard' Binary Data

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 — 1.11.6

Miscellaneous Functions for Passive Acoustic Analysis

pammtools — 0.5.93

Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis

PAMpal — 1.0.0

Load and Process Passive Acoustic Data

pampe — 1.1.2

Implementation of the Panel Data Approach Method for Program Evaluation

pamr — 1.56.2

Pam: Prediction Analysis for Microarrays

PAMscapes — 0.5.3

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

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 — 2.0.1

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

panelPomp — 1.1

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 — 1.1.17

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

PANPRSnext — 1.2.0

Building PRS Models Based on Summary Statistics of GWAs

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 — 0.11.1

Define and Work with Parameter Spaces for Complex Algorithms

parallelDist — 0.2.6

Parallel Distance Matrix Computation using Multiple Threads

ParallelLogger — 3.3.0

Support for Parallel Computation, Logging, and Function Automation

parallelly — 1.37.1

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

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

ParallelPC — 1.2

Paralellised Versions of Constraint Based Causal Discovery Algorithms

parallelPlot — 0.3.1

'Htmlwidget' for a Parallel Coordinates Plot

param2moment — 0.1.2

Raw, Central and Standardized Moments of Parametric Distributions

parameters — 0.21.7

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 — 1.0.4

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

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