All packages

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penPHcure — 1.0.2

Variable Selection in PH Cure Model with Time-Varying Covariates

penppml — 0.2.3

Penalized Poisson Pseudo Maximum Likelihood Regression

pense — 2.2.0

Penalized Elastic Net S/MM-Estimator of Regression

pensim — 1.3.6

Simulation of High-Dimensional Data and Parallelized Repeated Penalized Regression

pensynth — 0.5.1

Penalized Synthetic Control Estimation

peopleanalytics — 0.1.0

Data Sets for Craig Starbuck's Book, "The Fundamentals of People Analytics: With Applications in R"

peopleanalyticsdata — 0.2.1

Data Sets for Keith McNulty's Handbook of Regression Modeling in People Analytics

PEPBVS — 1.0

Bayesian Variable Selection using Power-Expected-Posterior Prior

pepe — 1.2.0

Data Manipulation

peperr — 1.5

Parallelised Estimation of Prediction Error

peppm — 0.0.1

Piecewise Exponential Distribution with Random Time Grids

pepr — 0.5.0

Reading Portable Encapsulated Projects

PepSAVIms — 0.9.1

PepSAVI-MS Data Analysis

Peptides — 2.4.6

Calculate Indices and Theoretical Physicochemical Properties of Protein Sequences

peptoolkit — 0.0.1

A Toolkit for Using Peptide Sequences in Machine Learning

peramo — 0.1.3

Permutation Tests for Randomization Model

perARMA — 1.7

Periodic Time Series Analysis

Perc — 0.1.6

Using Percolation and Conductance to Find Information Flow Certainty in a Direct Network

perccalc — 1.0.5

Estimate Percentiles from an Ordered Categorical Variable

PerFit — 1.4.6

Person Fit

PerfMeas — 1.2.5

Performance Measures for Ranking and Classification Tasks

performance — 0.12.0

Assessment of Regression Models Performance

PerformanceAnalytics — 2.0.4

Econometric Tools for Performance and Risk Analysis

performanceEstimation — 1.1.0

An Infra-Structure for Performance Estimation of Predictive Models

peRiodiCS — 0.5.0

Functions for Generating Periodic Curves

PeriodicTable — 0.1.2

Periodic Table of the Elements

periscope — 1.0.4

Enterprise Streamlined 'Shiny' Application Framework

periscope2 — 0.2.3

Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash'

PERK — 0.0.9.2

Predicting Environmental Concentration and Risk

perm — 1.0-0.4

Exact or Asymptotic Permutation Tests

PermAlgo — 1.2

Permutational Algorithm to Simulate Survival Data

PERMANOVA — 0.2.0

Multivariate Analysis of Variance Based on Distances and Permutations

PerMat — 0.1.0

Performance Metrics in Predictive Modeling

permChacko — 1.0.0

Chacko Test for Order-Restriction with Permutation

permGS — 0.2.5

Permutational Group Sequential Test for Time-to-Event Data

permimp — 1.0-2

Conditional Permutation Importance

permPATH — 1.3

Permutation Based Gene Expression Pathway Analysis

perms — 1.13

Fast Permutation Computation

permubiome — 1.3.2

A Permutation Based Test for Biomarker Discovery in Microbiome Data

permuco — 1.1.2

Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals

PermutationR — 0.1.0

Conduct Permutation Analysis of Variance in R

permutations — 1.1-2

The Symmetric Group: Permutations of a Finite Set

permute — 0.9-7

Functions for Generating Restricted Permutations of Data

permutes — 2.8

Permutation Tests for Time Series Data

perplexR — 0.0.3

A Coding Assistant using Perplexity's Large Language Models

perry — 0.3.1

Resampling-Based Prediction Error Estimation for Regression Models

perryExamples — 0.1.1

Examples for Integrating Prediction Error Estimation into Regression Models

persDx — 0.5.0

Personalized Diagnostics Rules for Subgroup Identification and Personalized Biomarker Discovery

PerseusR — 0.3.4

Perseus R Interop

PersianStemmer — 1.0

Persian Stemmer for Text Analysis

PersomicsArray — 1.0

Automated Persomics Array Image Extraction

personalized — 0.2.7

Estimation and Validation Methods for Subgroup Identification and Personalized Medicine

personalized2part — 0.0.1

Two-Part Estimation of Treatment Rules for Semi-Continuous Data

personalr — 1.0.3

Automated Personal Package Setup

personr — 1.0.0

Test Your Personality

perspectev — 1.1

Permutation of Species During Turnover Events

perturbR — 0.1.3

Random Perturbation of Count Matrices

peruflorads43 — 0.1.1

Reviewed Official Classification of Endangered Wild Flora Species in Peru

peruse — 0.3.1

A Tidy API for Sequence Iteration and Set Comprehension

perutimber — 0.1.0

Catalogue of the Timber Forest Species of the Peruvian Amazon

pesel — 0.7.5

Automatic Estimation of Number of Principal Components in PCA

PesticideLoadIndicator — 1.3.1

Computes Danish Pesticide Load Indicator

pestr — 0.8.2

Interface to Download Data on Pests and Hosts from 'EPPO'

Petersen — 2024.6.1

Estimators for Two-Sample Capture-Recapture Studies

petersenlab — 1.0.0

A Collection of R Functions by the Petersen Lab

PEtests — 0.1.0

Power-Enhanced (PE) Tests for High-Dimensional Data

PetfindeR — 2.1.0

'Petfinder' API Wrapper

petitr — 1.0

Relative Growth Rate

petrinetR — 0.3.0

Building, Visualizing, Exporting and Replaying Petri Nets

pewdata — 0.3.2

Reproducible Retrieval of Pew Research Center Datasets

pexm — 1.1.3

Loading a JAGS Module for the Piecewise Exponential Distribution

pez — 1.2-4

Phylogenetics for the Environmental Sciences

pfa — 1.1

Estimates False Discovery Proportion Under Arbitrary Covariance Dependence

pfica — 0.1.3

Independent Components Analysis Techniques for Functional Data

PFIM — 6.0.3

Population Fisher Information Matrix

pfr — 1.0.1

Interface to the 'C++' Library 'Pf'

pg — 0.2.4

Polya Gamma Distribution Sampler

pgam — 0.4.17

Poisson-Gamma Additive Models

pgdraw — 1.1

Generate Random Samples from the Polya-Gamma Distribution

PGEE — 1.5

Penalized Generalized Estimating Equations in High-Dimension

pgee.mixed — 0.1.0

Penalized Generalized Estimating Equations for Bivariate Mixed Outcomes

pgenlibr — 0.3.7

PLINK 2 Binary (.pgen) Reader

pgirmess — 2.0.3

Spatial Analysis and Data Mining for Field Ecologists

pgKDEsphere — 1.0.1

Parametrically Guided Kernel Density Estimator for Spherical Data

pglm — 0.2-3

Panel Generalized Linear Models

PGM2 — 1.0-1

Nested Resolvable Designs and their Associated Uniform Designs

pgmm — 1.2.7

Parsimonious Gaussian Mixture Models

pgnorm — 2.0

The p-Generalized Normal Distribution

pGPx — 0.1.4

Pseudo-Realizations for Gaussian Process Excursions

pgraph — 1.6

Build Dependency Graphs using Projection

PGRdup — 0.2.3.9

Discover Probable Duplicates in Plant Genetic Resources Collections

pGRN — 0.3.5

Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory Network Inference

pgsc — 1.0.0

Computes Powell's Generalized Synthetic Control Estimator

pgTools — 1.0.2

Functions for Generating PostgreSQL Statements/Scripts

PH1XBAR — 0.11.2

Phase I Shewhart X-Bar Chart

ph2bayes — 0.0.2

Bayesian Single-Arm Phase II Designs

ph2bye — 0.1.4

Phase II Clinical Trial Design Using Bayesian Methods

ph2mult — 0.1.1

Phase II Clinical Trial Design for Multinomial Endpoints

phacking — 0.2.1

Sensitivity Analysis for p-Hacking in Meta-Analyses

PhageCocktail — 1.0.3

Design of the Best Phage Cocktail

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