Custom Formatted Console Messages with Timing Support

Automatically Print R Objects to Appropriate Formats According
to the 'knitr' Output Format
R package printr version 0.3

Print Directory Trees for R Projects and Folders

Graph Community Detection Methods into Systematic Conservation
Planning

Generates Prior Distributions for Proportions

Systematic Conservation Prioritization in R

Comprehensive Analysis of Multi-Omics Data Using an Offset-Based
Method
R package priorityelasticnet version 1.2.1

Analyzing Multiple Omics Data with an Offset Approach

Prior Diagnostics and Sensitivity Analysis

Access Data from the Oregon State Prism Climate Project

Penalized Regression with Inferred Seasonality Module -
Forecasting Unemployment Initial Claims using 'Google Trends'
Data
R package PRISM.forecast version 0.2.1

Protocol Inspection and State Machine Analysis

Creates a Prisma Diagram using 'DiagrammeR'

Differentially Private Regularized Logistic Regression

Estimation of Prevalence Ratios via Logistic Regression Models

D-Hondt, Sainte-Lague, and Modified Sainte-Lague Methods for
Seat Allocation

Miscellaneous Printing of Numeric and Statistical Output in R
Markdown and Quarto Documents
R package prmisc version 0.0.3

Point-Process Response Model for Optogenetics

Detect Elevations and Gaps in Mapped Sequencing Read Coverage

PRO-CTCAE Scoring, Analysis, and Graphical Tools

Tools for Post-Processing Predicted Values

Install and Load the 'probaverse' Packages

Probability Theory for Selecting Candidates in Plant Breeding

Calibration of Binary and Multiclass Probabilities

Sparse High-Dimensional Linear Regression with PROBE

Probit with Spatial Dependence, SAR, SEM and SARAR Models

Computing Logit & Probit Predicted Probabilities & Marginal
Effects

Unsupervised Multivariate Outlier Probabilities for Large
Datasets

Elementary Probability on Finite Sample Spaces

Probabilistic Sampling Design and Strategies

Companion Package to Probability and Statistics for Economics
and Business

Inference for the Stress-Strength Model R = P(Y<X)