RSS POSTS: ##
Gradient-Boosting anything (alert: high performance)
Can ChatGPT help construct non-trivial statistical models? An example with Bayesian “random” splines
Calculating an LOOCV MSE by hand
Introducing: the POLYGON FULL
Ordinal State Transition Models as a Unifying Risk Prediction Framework
The Burden of Demonstrating Statistical Validity of Clusters
Standardising R Projects with the ProjectTemplate package workshop
Postprocessing is coming to tidymodels
Exploratory Data Analysis: Will PCE Data Push Bitcoin?
Dudeney’s Remainder Problem
Redirection in Linux: A Beginner’s Guide
How to Combine Two Data Frames in R with Different Columns Using Base R, dplyr, and data.table
Making Your Programs More Powerful with #include and #define for C
How to Combine Two Columns into One in R With Examples in Base R and tidyr
How to Combine Rows with Same Column Values in R
Creating post summary with AI from Hugging Face
3MW (Data-Driven Powerpoint With R)
Shiny for Python and JavaScript: How to Add JS Scripts to Your Dashboards
A Guide to Validating R (Shiny) Applications in Pharma
Using Posit Connect to implement dynamic user identity for data governance in published apps
Nested unit tests with testthat
CRANberries UPDATED:
{renv} 1.0.11 : Project Environments - diffify
{gpbStat} 0.4.4 : Comprehensive Statistical Analysis of Plant Breeding Experiments - diffify
{RWsearch} 5.2.0 : Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-One
Download - diffify
{log4r} 0.4.4 : A Fast and Lightweight Logging System for R, Based on ‘log4j’ - diffify
{WeightSVM} 1.7-16 : Subject Weighted Support Vector Machines - diffify
{pedigreeTools} 0.3 : Versatile Functions for Working with Pedigrees - diffify
{spork} 0.3.5 : Generalized Label Formatting - diffify
{tsgarch} 1.0.3 : Univariate GARCH Models - diffify
{gtfsio} 1.2.0 : Read and Write General Transit Feed Specification (GTFS) Files - diffify
{healthyR.ts} 0.3.1 : The Time Series Modeling Companion to ‘healthyR’ - diffify
{tfrmtbuilder} 0.1.0 : ‘shiny’ App Companion to the ‘tfrmt’ Package - diffify
{nuggets} 1.2.0 : Extensible Data Pattern Searching Framework - diffify
{gss} 2.2-8 : General Smoothing Splines - diffify
{groc} 1.0.10 : Generalized Regression on Orthogonal Components - diffify
{ECGofTestDx} 0.5 : A Goodness-of-Fit Test for Elliptical Distributions with
Diagnostic Capabilities - diffify
{wk} 0.9.4 : Lightweight Well-Known Geometry Parsing - diffify
{quickcode} 1.0.1 : Quick and Essential ‘R’ Tricks for Better Scripts - diffify
{grpnet} 0.6 : Group Elastic Net Regularized GLMs and GAMs - diffify
{eatTools} 0.7.7 : Miscellaneous Functions for the Analysis of Educational
Assessments - diffify
{crew} 0.10.0 : A Distributed Worker Launcher Framework - diffify
{EpiModel} 2.5.0 : Mathematical Modeling of Infectious Disease Dynamics - diffify
{LorenzRegression} 2.1.0 : Lorenz and Penalized Lorenz Regressions - diffify
{longitudinalData} 2.4.7 : Longitudinal Data - diffify
{bvhar} 2.1.2 : Bayesian Vector Heterogeneous Autoregressive Modeling - diffify
{bamlss} 1.2-5 : Bayesian Additive Models for Location, Scale, and Shape (and
Beyond) - diffify
{synthesizer} 0.3.1 : Synthesize Data Based on Empirical Quantile Functions and Rank
Order Matching - diffify
{kiwisR} 0.2.4 : A Wrapper for Querying KISTERS ‘WISKI’ Databases via the ‘KiWIS’
API - diffify
{JDCruncheR} 0.3.1 : Interface Between the ‘JDemetra+’ Cruncher and R, and Quality
Report Generator - diffify
{forestplot} 3.1.5 : Advanced Forest Plot Using ‘grid’ Graphics - diffify
{mpt} 1.0-0 : Multinomial Processing Tree Models - diffify
{shapviz} 0.9.6 : SHAP Visualizations - diffify
{gRaven} 1.1.10 : Bayes Nets: ‘RHugin’ Emulation with ‘gRain’ - diffify
{atime} 2024.10.5 : Asymptotic Timing - diffify
{crypto2} 2.0.3 : Download Crypto Currency Data from ‘CoinMarketCap’ without ‘API’ - diffify
{sf} 1.0-18 : Simple Features for R - diffify
{pagedown} 0.21 : Paginate the HTML Output of R Markdown with CSS for Print - diffify
{dtComb} 1.0.4 : Statistical Combination of Diagnostic Tests - diffify
{amadeus} 1.1.3 : Accessing and Analyzing Large-Scale Environmental Data - diffify
{RcppAlgos} 2.8.5 : High Performance Tools for Combinatorics and Computational
Mathematics - diffify
{radiant.model} 1.6.7 : Model Menu for Radiant: Business Analytics using R and Shiny - diffify
{yamlet} 1.1.3 : Versatile Curation of Table Metadata - diffify
{PwrGSD} 2.3.8 : Power in a Group Sequential Design - diffify
{hdflex} 0.3.0 : High-Dimensional Aggregate Density Forecasts - diffify
{CEC} 0.11.2 : Cross-Entropy Clustering - diffify
{APackOfTheClones} 1.2.1 : Visualization of Clonal Expansion for Single Cell Immune
Profiles - diffify
{naijR} 0.6.1 : Operations to Ease Data Analyses Specific to Nigeria - diffify
{netUtils} 0.8.3 : A Collection of Tools for Network Analysis - diffify
{discAUC} 1.0.3 : Linear and Non-Linear AUC for Discounting Data - diffify
{pakret} 0.2.1 : Cite ‘R’ Packages on the Fly in ‘R Markdown’ and ‘Quarto’ - diffify
{QWDAP} 1.1.20 : Quantum Walk-Based Data Analysis and Prediction - diffify
{gRain} 1.4.4 : Graphical Independence Networks - diffify
{DPpack} 0.2.1 : Differentially Private Statistical Analysis and Machine Learning - diffify
{data.table} 1.16.2 : Extension of data.frame
- diffify
{ChoiceModelR} 1.3.1 : Choice Modeling in R - diffify
{ieeeround} 0.2-2 : Functions to Set and Get the IEEE Rounding Mode - diffify
{ssMutPA} 0.1.1 : Single-Sample Mutation-Based Pathway Analysis - diffify
{NlsyLinks} 2.2.2 : Utilities and Kinship Information for Research with the NLSY - diffify
{neojags} 0.1.5 : Neo-Normal Distributions Family for Markov Chain Monte Carlo
(MCMC) Models in ‘JAGS’ - diffify
{ISwR} 2.0-9 : Introductory Statistics with R - diffify
{hexDensity} 1.4.5 : Fast Kernel Density Estimation with Hexagonal Grid - diffify
{fitODBOD} 1.5.3 : Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD - diffify
{swaRmverse} 0.1.1 : Swarm Space Creation - diffify
{mapme.biodiversity} 0.9.2 : Efficient Monitoring of Global Biodiversity Portfolios - diffify
{lfproQC} 1.4.0 : Quality Control for Label-Free Proteomics Expression Data - diffify
{evaluate} 1.0.1 : Parsing and Evaluation Tools that Provide More Details than the
Default - diffify
{wrappedtools} 0.9.6 : Useful Wrappers Around Commonly Used Functions - diffify
{smacof} 2.1-7 : Multidimensional Scaling - diffify
{random.cdisc.data} 0.3.16 : Create Random ADaM Datasets - diffify
{nnlib2Rcpp} 0.2.9 : A Tool for Creating Custom Neural Networks in C++ and using Them
in R - diffify
{gdverse} 1.1.0 : Analysis of Spatial Stratified Heterogeneity - diffify
{nixtlar} 0.6.1 : A Software Development Kit for ‘Nixtla’’s ‘TimeGPT’ - diffify
{ViSe} 0.1.3 : Visualizing Sensitivity - diffify
{VertexWiseR} 1.1.0 : Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal
Surface - diffify
{PriceIndices} 0.2.2 : Calculating Bilateral and Multilateral Price Indexes - diffify
{ssdtools} 2.0.0 : Species Sensitivity Distributions - diffify
{speccurvieR} 0.4.2 : Easy, Fast, and Pretty Specification Curve Analysis - diffify
{LatticeKrig} 9.3.0 : Multi-Resolution Kriging Based on Markov Random Fields - diffify
{officer} 0.6.7 : Manipulation of Microsoft Word and PowerPoint Documents - diffify
{handwriter} 3.2.0 : Handwriting Analysis in R - diffify
{tcpl} 3.2.0 : ToxCast Data Analysis Pipeline - diffify
{surveytable} 0.9.5 : Formatted Survey Estimates - diffify
{insurancerating} 0.7.5 : Analytic Insurance Rating Techniques - diffify
{ggragged} 0.2.0 : Ragged Grids for ‘ggplot2’ - diffify
{partition} 0.2.2 : Agglomerative Partitioning Framework for Dimension Reduction - diffify
{dgof} 1.5.1 : Discrete Goodness-of-Fit Tests - diffify
{jlme} 0.4.0 : Regression Modelling with ‘GLM.jl’ and ‘MixedModels.jl’ in
‘Julia’ - diffify
{eatGADS} 1.1.1 : Data Management of Large Hierarchical Data - diffify
{mirai} 1.3.0 : Minimalist Async Evaluation Framework for R - diffify
{ergmgp} 0.1-2 : Tools for Modeling ERGM Generating Processes - diffify
{sorcering} 1.1.0 : Soil Organic Carbon and CN Ratio Driven Nitrogen Modelling
Framework - diffify
{Compositional} 7.1 : Compositional Data Analysis - diffify
{volesti} 1.1.2-8 : Volume Approximation and Sampling of Convex Polytopes - diffify
{simplace} 5.1.2 : Interface to Use the Modelling Framework ‘SIMPLACE’ - diffify
{KinMixLite} 2.1.1 : Inference About Relationships from DNA Mixtures - diffify
{gMOIP} 1.5.3 : Tools for 2D and 3D Plots of Single and Multi-Objective
Linear/Integer Programming Models - diffify
{SqlRender} 1.19.0 : Rendering Parameterized SQL and Translation to Dialects - diffify
{FuzzyImputationTest} 0.3.3 : Imputation Procedures and Quality Tests for Fuzzy Data - diffify
{chevron} 0.2.7 : Standard TLGs for Clinical Trials Reporting - diffify
{RaMS} 1.4.3 : R Access to Mass-Spec Data - diffify
{path.chain} 1.0.0 : Concise Structure for Chainable Paths - diffify
{tidyplate} 2.0.1 : Transform Microplate Data into Tibbles - diffify
{MHDA} 1.3 : Massive Hierarchically Data Analysis - diffify
{SKNN} 4.1 : A Super K-Nearest Neighbor (SKNN) Classification Algorithm - diffify
{MKMeans} 3.1 : A Modern K-Means (MKMeans) Clustering Algorithm - diffify
{Rgof} 2.1.0 : 1d Goodness of Fit Tests - diffify
{ARUtools} 0.7.1 : Management and Processing of Autonomous Recording Unit (ARU)
Data - diffify
{PurpleAir} 1.0.1 : Query the ‘PurpleAir’ Application Programming Interface - diffify
{JuliaConnectoR} 1.1.4 : A Functionally Oriented Interface for Integrating ‘Julia’ with R - diffify
{DSI} 1.7.0 : ‘DataSHIELD’ Interface - diffify
{wordpredictor} 0.0.5 : Develop Text Prediction Models Based on N-Grams - diffify
{fastverse} 0.3.4 : A Suite of High-Performance Packages for Statistics and Data
Manipulation - diffify
{tseriesTARMA} 0.5-1 : Analysis of Nonlinear Time Series Through Threshold
Autoregressive Moving Average Models (TARMA) Models - diffify
{webdav} 0.1.1 : A Simple Interface for Interacting with ‘WebDAV’ Servers - diffify
{tergm} 4.2.1 : Fit, Simulate and Diagnose Models for Network Evolution Based on
Exponential-Family Random Graph Models - diffify
{MetaSKAT} 0.90 : Meta Analysis for SNP-Set (Sequence) Kernel Association Test - diffify
{copBasic} 2.2.6 : General Bivariate Copula Theory and Many Utility Functions - diffify
{eefAnalytics} 1.1.2 : Robust Analytical Methods for Evaluating Educational
Interventions using Randomised Controlled Trials Designs - diffify
{CePa} 0.8.1 : Centrality-Based Pathway Enrichment - diffify
{rDataPipeline} 0.60.0 : Functions to Interact with the ‘FAIR Data Pipeline’ - diffify
{eyelinkReader} 1.0.2 : Import Gaze Data for EyeLink Eye Tracker - diffify
{CohortConstructor} 0.3.1 : Build and Manipulate Study Cohorts Using a Common Data Model - diffify
{adjclust} 0.6.10 : Adjacency-Constrained Clustering of a Block-Diagonal Similarity
Matrix - diffify
{stcpR6} 0.9.8 : Sequential Test and Change-Point Detection Algorithms Based on
E-Values / E-Detectors - diffify
{epiworldR} 0.3-2 : Fast Agent-Based Epi Models - diffify
{spStack} 1.0.1 : Bayesian Geostatistics Using Predictive Stacking - diffify
{sdsfun} 0.4.0 : Spatial Data Science Complementary Features - diffify
{pubh} 2.0.0 : A Toolbox for Public Health and Epidemiology - diffify
{cata} 0.1.0.7 : Analysis of Check-All-that-Apply (CATA) Data - diffify
{swdpwr} 1.11 : Power Calculation for Stepped Wedge Cluster Randomized Trials - diffify
{BGLR} 1.1.3 : Bayesian Generalized Linear Regression - diffify
{multiverse} 0.6.2 : Create ‘multiverse analysis’ in R - diffify
{doBy} 4.6.24 : Groupwise Statistics, LSmeans, Linear Estimates, Utilities - diffify
{konfound} 1.0.1 : Quantify the Robustness of Causal Inferences - diffify
{eSDM} 0.4.4 : Ensemble Tool for Predictions from Species Distribution Models - diffify
{MiscMetabar} 0.10.1 : Miscellaneous Functions for Metabarcoding Analysis - diffify
{distory} 1.4.5 : Distance Between Phylogenetic Histories - diffify
{reReg} 1.4.7 : Recurrent Event Regression - diffify
{DRDID} 1.2.0 : Doubly Robust Difference-in-Differences Estimators - diffify
{PopED} 0.7.0 : Population (and Individual) Optimal Experimental Design - diffify
{globalKinhom} 0.1.9 : Inhomogeneous K- And Pair Correlation Functions Using Global
Estimators - diffify
{exampletestr} 1.7.3 : Help for Writing Unit Tests Based on Function Examples - diffify
{aftgee} 1.2.1 : Accelerated Failure Time Model with Generalized Estimating
Equations - diffify
{xportr} 0.4.1 : Utilities to Output CDISC SDTM/ADaM XPT Files - diffify
{mxfda} 0.2.2 : A Functional Data Analysis Package for Spatial Single Cell Data - diffify
{Qindex} 0.1.6 : Continuous and Dichotomized Index Predictors Based on
Distribution Quantiles - diffify
{lulab.utils} 0.0.4 : Supporting Functions Maintained by Zhen Lu - diffify
{hydflood} 0.5.9 : Flood Extents and Duration along the Rivers Elbe and Rhine - diffify
{ElevDistr} 1.0.9 : Calculate the Distance to the Nearest Local Treeline - diffify
{pool} 1.0.4 : Object Pooling - diffify
{pins} 1.4.0 : Pin, Discover, and Share Resources - diffify
{nlmixr2lib} 0.3.0 : A Model Library for ‘nlmixr2’ - diffify
{lessR} 4.3.8 : Less Code, More Results - diffify
{jarbes} 2.2.2 : Just a Rather Bayesian Evidence Synthesis - diffify
{ergm} 4.7.1 : Fit, Simulate and Diagnose Exponential-Family Models for
Networks - diffify
{hhh4contacts} 0.13.4 : Age-Structured Spatio-Temporal Models for Infectious Disease
Counts - diffify
{GeoModels} 2.0.6 : Procedures for Gaussian and Non Gaussian Geostatistical (Large)
Data Analysis - diffify
{ggcompare} 0.0.2 : Mean Comparison in ‘ggplot2’ - diffify
{ganGenerativeData} 2.1.3 : Generate Generative Data for a Data Source - diffify
{geoBayes} 0.7.4 : Analysis of Geostatistical Data using Bayes and Empirical Bayes
Methods - diffify
{quantregForest} 1.3-7.1 : Quantile Regression Forests - diffify
{mixlm} 1.4.0 : Mixed Model ANOVA and Statistics for Education - diffify
{equateMultiple} 1.1.0 : Equating of Multiple Forms - diffify
{wdpar} 1.3.8 : Interface to the World Database on Protected Areas - diffify
{mappeR} 1.0.0 : Construct and Visualize TDA Mapper Graphs - diffify
{predicts} 0.1-16 : Spatial Prediction Tools - diffify
{L1centrality} 0.3.0 : Graph/Network Analysis Based on L1 Centrality - diffify
{tidysq} 1.2.1 : Tidy Processing and Analysis of Biological Sequences - diffify
{ggsoccer} 0.2.0 : Plot Soccer Event Data - diffify
{khisr} 1.0.6 : An R Client to Retrieve Data from DHIS2 - diffify
{shinyCox} 1.1.1 : Create ‘shiny’ Applications for Cox Proportional Hazards Models - diffify
{SGP} 2.2-0.0 : Student Growth Percentiles & Percentile Growth Trajectories - diffify
{qgisprocess} 0.4.1 : Use ‘QGIS’ Processing Algorithms - diffify
{incidence2} 2.5.0 : Compute, Handle and Plot Incidence of Dated Events - diffify
{cocorresp} 0.4-5 : Co-Correspondence Analysis Methods - diffify
{fqar} 0.5.4 : Floristic Quality Assessment Tools for R - diffify
{HiDimDA} 0.2-7 : High Dimensional Discriminant Analysis - diffify
{statnet.common} 4.10.0 : Common R Scripts and Utilities Used by the Statnet Project
Software - diffify
{beastier} 2.5.2 : Call ‘BEAST2’ - diffify
{ExtremalDep} 0.0.4-2 : Extremal Dependence Models - diffify
{logconcens} 0.17-4 : Maximum Likelihood Estimation of a Log-Concave Density Based on
Censored Data - diffify
{rddensity} 2.6 : Manipulation Testing Based on Density Discontinuity - diffify
{cpmr} 0.1.0 : Connectome Predictive Modelling in R - diffify
{lpdensity} 2.5 : Local Polynomial Density Estimation and Inference - diffify
CRANberries NEW:
{algaeClassify} 2.0.3 : Tools to Query the Algaebase Online Database, Standardize
Phytoplankton Taxonomic Data, and Perform Functional Group
Classifications
{sapo} 0.8.0 : Spatial Association of Different Types of Polygon
{pwr4exp} 0.1.0 : Power Analysis for Research Experiments
{pPCA} 1.0 : Partial Principal Component Analysis of Partitioned Large Sparse
Matrices
{mycaas} 0.0.1 : My Computerized Adaptive Assessment
{Kifidi} 0.1.0 : Summary Table and Means Plots
{data.table.threads} 1.0.0 : Analyze Multi-Threading Performance for ‘data.table’ Functions
{AdverseEvents} 0.0.1 : ‘shiny’ Application for Adverse Event Analysis of ‘OnCore’ Data
{WQM} 0.1.4 : Wavelet-Based Quantile Mapping for Postprocessing Numerical
Weather Predictions
{roseRF} 0.1.0 : ROSE Random Forests for Robust Semiparametric Efficient
Estimation
{plmmr} 4.0.0 : Penalized Linear Mixed Models for Correlated Data
{openrouteservice} 0.5.3 : An ‘openrouteservice’ API Client
{neutrostat} 0.0.1 : Neutrosophic Statistics
{rdss} 1.0.12 : Companion Datasets and Functions for Research Design in the
Social Sciences
{Certara.VPCResults} 3.0.1 : Generate Visual Predictive Checks (VPC) Using ‘shiny’
{tidyllm} 0.1.0 : Tidy Integration of Large Language Models
{REN} 0.1.0 : Regularization Ensemble for Robust Portfolio Optimization
{gerefer} 0.1.0 : Preparer of Main Scientific References for Automatic Insertion
in Academic Papers
{genular} 1.0.0 : ‘Genular’ Database API
{genetic.algo.optimizeR} 0.3.2 : Genetic Algorithm Optimization
{cuadramelo} 1.0.0 : Matrix Balancing and Rounding
{autometric} 0.0.5 : Background Resource Logging
{MPCR} 1.1.3 : Multi- And Mixed-Precision Computations
{tvtools} 0.0.3 : Comprehensive Tools for Panel Data Analysis - ‘tvtools’
{usdatasets} 0.1.0 : A Comprehensive Collection of U.S. Datasets
{spheredata} 0.1.0 : Students’ Performance Dataset in Physics Education Research
(SPHERE)
{eDNAjoint} 0.2 : Joint Modeling of Traditional and Environmental DNA Survey Data
in a Bayesian Framework
{gtfs2gps} 2.1-2 : Converting Transport Data from GTFS Format to GPS-Like Records
{gtfstools} 1.3.0 : General Transit Feed Specification (GTFS) Editing and Analysing
Tools
{heckmanGE} 1.0.0 : Estimation and Inference for Heckman Selection Models with
Cluster-Robust Variance
{FRB} 2.0-1 : Fast and Robust Bootstrap
{oaqc} 2.0.0 : Computation of the Orbit-Aware Quad Census
{serosv} 1.0.0 : Model Infectious Disease Parameters from Serosurveys
{opendataformat} 1.3.0 : Reading and Writing Open Data Format Files
{oglcnac} 0.1.2 : Processing and Analysis of O-GlcNAcAtlas Data
{GTbasedIM} 1.0.0 : Game Theory-Based Influence Measures
{CDsampling} 0.1.0 : ‘CDsampling’: Constraint Sampling in Paid Research Studies