R Weekly 2024-W25 CRAN deadlines, R-universe, {handwriter} package

17 Jun 2024

How to have (my) content shared by R Weekly?

This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.

Highlight

Expose CRAN deadlines and DOIs
A fresh new look for R-universe!
{handwriter} 3.1.1: Handwriting Analysis in R

Insights

R in the Real World

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

{bidask} 2.0.4: Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices
{RPregression} 0.1.0: A Simple Regression and Plotting Tool
{PerMat} 0.1.0: Performance Metrics in Predictive Modeling
{CITMIC} 0.1.0: Estimation of Cell Infiltration Based on Cell Crosstalk
{parTimeROC} 0.1.0: Parametric Time-Dependent Receiver Operating Characteristic
{ehymet} 0.1.0: Methodologies for Functional Data Based on the Epigraph and Hypograph Indices
{sched} 1.0.1: Request Scheduler
{rioplot} 1.1.1: Turn a Regression Model Inside Out
{M3} 0.4: Reading M3 Files
{smile} 1.0.5: Spatial Misalignment: Interpolation, Linkage, and Estimation
{repeated} 1.1.8: Non-Normal Repeated Measurements Models
{datadriftR} 0.0.1: Concept Drift Detection Methods for Stream Data
{cumulcalib} 0.0.1: Cumulative Calibration Assessment for Prediction Models
{VertexWiseR} 1.0.0: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface
{synthesizer} 0.2.0: Synthesize Data Based on Emperical Multivariate Distributions and Rank Order Matching
{scCAN} 1.0.5: Single-Cell Clustering using Autoencoder and Network Fusion
{samplrData} 1.0.0: Datasets from the SAMPLING Project
{pci} 1.0.1: A Collection of Process Capability Index Functions
{Rtapas} 1.2: Random Tanglegram Partitions
{SurveyDefense} 0.1.0: Survey Defense Tool
{settingsSync} 3.0.2: ‘Rstudio’ Addin to Sync Settings and Keymaps
{hdcuremodels} 0.0.1: Penalized Mixture Cure Models for High-Dimensional Data
{margins} 0.3.27: Marginal Effects for Model Objects
{RMSDp} 0.1.1: Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection (Parallel Version)
{optiSel} 2.0.8: Optimum Contribution Selection and Population Genetics
{prediction} 0.3.18: Tidy, Type-Safe ‘prediction()’ Methods
{piecewiseSEM} 2.3.0.1: Piecewise Structural Equation Modeling
{VAR.spec} 1.0: Allows Specifying a Bivariate VAR (Vector Autoregression) with Desired Spectral Characteristics
{SoilSaltIndex} 0.1.0: Soil Salinity Indices Generation using Satellite Data
{ppgm} 1.0.3: PaleoPhyloGeographic Modeling of Climate Niches and Species Distributions
{numberize} 1.0.0: Convert Words to Numbers in Multiple Languages
{multinma} 0.7.1: Bayesian Network Meta-Analysis of Individual and Aggregate Data
{mcstatsim} 0.1.0: Monte Carlo Statistical Simulation Tools Using a Functional Approach
{mauricer} 2.5.4: Work with ‘BEAST2’ Packages
{colocPropTest} 0.9.1: Proportional Testing for Colocalisation Analysis
{catregs} 0.2.0: Post-Estimation Functions for Generalized Linear Mixed Models
{birdie} 0.6.1: Bayesian Instrumental Regression for Disparity Estimation
{PAMscapes} 0.5.8: Tools for Summarising and Analysing Soundscape Data
{qlcVisualize} 0.3: Visualization for Quantitative Language Comparison
{multilevelcoda} 1.3.0: Estimate Bayesian Multilevel Models for Compositional Data
{ecochange} 2.9.3.2: Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators
{qlcData} 0.3: Processing Data for Quantitative Language Comparison
{ncdfCF} 0.1.1: Easy Access to NetCDF Files with CF Metadata Conventions
{lakhesis} 0.0.1: Consensus Seriation for Binary Data
{jstager} 0.0.2: Retrieve Information Published on J-STAGE
{igraphwalshdata} 0.1.0: ‘igraph’ Datasets from Melanie Walsh
{gwzinbr} 0.1.0: Geographically Weighted Zero Inflated Negative Binomial Regression
{cassandRa} 0.2.0: Finds Missing Links and Metric Confidence Intervals in Ecological Bipartite Networks
{bcc} 1.5: Beta Control Charts
{rsides} 0.1: SIDES-Based Subgroup Search Algorithms
{PredictorSelect} 0.1.0: Out-of-Sample Predictability in Predictive Regressions with Many Predictor Candidates
{ICompELM} 0.1.0: Independent Component Analysis Based Extreme Learning Machine
{gmtFD} 0.1.0: General Multiple Tests for Univariate and Multivariate Functional Data
{arrowheadr} 1.0.1: Make Custom Arrowheads
{geodata} 0.6-2: Download Geographic Data
{blandr} 0.6.0: Bland-Altman Method Comparison
{cryptotrackr} 1.3.3: An Interface to Crypto Data Sources

GitHub or Bitbucket

Utility Functions and Composite Goods in Economics

Updated Packages

🔍 Search on R-universe 🔍

{lightgbm} 4.3.0: Light Gradient Boosting Machine - diffify
{alone} 0.4: Datasets from the Survival TV Series Alone - diffify
{handwriter} 3.1.1: Handwriting Analysis in R - diffify
{ggplate} 0.1.3: Create Layout Plots of Biological Culture Plates and Microplates - diffify
{CAST} 1.0.2: ‘caret’ Applications for Spatial-Temporal Models - diffify
{troopdata} 1.0.0: Tools for Analyzing Cross-National Military Deployment and Basing Data - diffify
{torchvision} 0.6.0: Models, Datasets and Transformations for Images - diffify
{modelsummary} 2.1.1: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready - diffify
{marginaleffects} 0.21.0: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests - diffify
{settingsSync} 3.0.2: ‘Rstudio’ Addin to Sync Settings and Keymaps - diffify
{CohortConstructor} 0.2.1: Build and Manipulate Study Cohorts Using a Common Data Model - diffify
{Apoderoides} 2.0.0: Prioritize and Delete Erroneous Taxa in a Large Phylogenetic Tree - diffify
{ggblanket} 9.1.1: Simplify ‘ggplot2’ Visualisation - diffify
{duckdb} 1.0.0: DBI Package for the DuckDB Database Management System - diffify
{MASS} 7.3-61: Support Functions and Datasets for Venables and Ripley’s MASS - diffify
{fixest} 0.12.1: Fast Fixed-Effects Estimations - diffify
{geomtextpath} 0.1.4: Curved Text in ‘ggplot2’ - diffify
{geoarrow} 0.2.1: Extension Types for Spatial Data for Use with ‘Arrow’ - diffify
{Epi} 2.51: Statistical Analysis in Epidemiology - diffify
{cfr} 0.1.1: Estimate Disease Severity and Case Ascertainment - diffify
{poputils} 0.3.1: Demographic Analysis and Data Manipulation - diffify
{diffviewer} 0.1.2: HTML Widget to Show File Differences - diffify
{vitae} 0.6.0: Curriculum Vitae for R Markdown - diffify
{mlr} 2.19.2: Machine Learning in R - diffify
{swagger} 5.17.14: Dynamically Generates Documentation from a ‘Swagger’ Compliant API - diffify
{soilDB} 2.8.3: Soil Database Interface - diffify
{nanostringr} 0.4.2: Performs Quality Control, Data Normalization, and Batch Effect Correction for ‘NanoString nCounter’ Data - diffify
{SchoolDataIT} 0.1.2: Retrieve, Harmonise and Map Open Data Regarding the Italian School System - diffify
{mapSpain} 0.9.1: Administrative Boundaries of Spain - diffify
{khisr} 1.0.4: An R Client to Retrieve Data from DHIS2 - diffify
{ggfoundry} 0.2.0: Shape Foundry & Geom for ‘ggplot2’ - diffify
{nimble} 1.2.0: MCMC, Particle Filtering, and Programmable Hierarchical Modeling - diffify