RSS POSTS: ##

RSS POSTS:

Getting to the bottom of TMLE: influence functions and perturbations
Building a Robust .gitconfig
When Targeting Gets Too Narrow: A Break-Even Lens for selecting Audience Segments
From nlmixr2 Working Group: nlmixr2 inter occasion variability
rfoaas 2.3.3: Limited Rebirth
littler 0.3.23 on CRAN: More Features (and Fixes)
Paleontology R Packages to Benefit from Software Sustainability Institute Grant
Announcing New Statistical Software Peer Review Editors: Natalia da Silva and Andrew Heiss
Why Every R Package Wrapping External Tools Needs a sitrep() Function
A roguelike-like with tyle
Next-Gen R Tooling
Announcing the Positron Notebook Editor for Jupyter Notebooks
Fifty Releases of Pointblank: a Year of Building Data Quality Tooling
December 2025 Top 40 New CRAN Packages
blockr.dag update: ports.
Weekly Recap (February 6, 2026)
Ten simple rules for teaching data science
OpenAI Codex App
Biological risk and the AI capability shift
Tacit Knowledge and Biosecurity
CRANberries UPDATED:
{MOSAlloc} 1.2.4: Constraint Multiobjective Sample Allocation - diffify
{garma} 1.0.1: Fitting and Forecasting Gegenbauer ARMA Time Series Models - diffify
{vazul} 1.1.0: Analysis Blinding Tools - diffify
{scorecard} 0.4.6: Credit Risk Scorecard - diffify
{reporter} 1.4.6: Creates Statistical Reports - diffify
{partykit} 1.2-25: A Toolkit for Recursive Partytioning - diffify
{mlpack} 4.7.0: ‘Rcpp’ Integration for the ‘mlpack’ Library - diffify
{ife} 0.2.3: Autodiff for Influence Function Based Estimates - diffify
{gratia} 0.11.2: Graceful ‘ggplot’-Based Graphics and Other Functions for GAMs Fitted Using ‘mgcv’ - diffify
{edgemodelr} 0.1.6: Local Large Language Model Inference Engine - diffify
{dwp} 1.2: Density-Weighted Proportion - diffify
{cisp} 0.2.0: A Correlation Indicator Based on Spatial Patterns - diffify
{bootnet} 1.7.1: Bootstrap Methods for Various Network Estimation Routines - diffify
{bibliorefer} 0.1.3: Generator of Main Scientific References - diffify
{bcdata} 0.5.2: Search and Retrieve Data from the BC Data Catalogue - diffify
{arrow} 23.0.0.1: Integration to ‘Apache’ ‘Arrow’ - diffify
{plotthis} 0.10.0: High-Level Plotting Built Upon ‘ggplot2’ and Other Plotting Packages - diffify
{prome} 3.1.0.1: Patient-Reported Outcome Data Analysis with Stan - diffify
{osrm.backend} 0.2.0: Bindings for ‘Open Source Routing Machine’ - diffify
{crosswalkr} 0.4.0: Rename and Encode Data Frames Using External Crosswalk Files - diffify
{RcmdrPlugin.RiskDemo} 3.3: R Commander Plug-in for Risk Demonstration - diffify
{autotab} 0.1.2: Variational Autoencoders for Heterogeneous Tabular Data - diffify
{UCSCXenaTools} 1.7.0: Download and Explore Datasets from UCSC Xena Data Hubs - diffify
{SomaDataIO} 6.5.0: Input/Output ‘SomaScan’ Data - diffify
{cpfa} 1.2-6: Classification with Parallel Factor Analysis - diffify
{shinyscholar} 0.4.4: A Template for Creating Reproducible ‘shiny’ Applications - diffify
{OmopSketch} 1.0.1: Characterise Tables of an OMOP Common Data Model Instance - diffify
{ifo} 0.2.3: Client for the Ifo Institute Time Series - diffify
{feisr} 1.3.1: Estimating Fixed Effects Individual Slope Models - diffify
{eurlex} 0.4.9: Retrieve Data on European Union Law - diffify
{BioCro} 3.3.1: Modular Crop Growth Simulations - diffify
{profileModel} 0.6.2: Profiling Inference Functions for Various Model Classes - diffify
{ipeaplot} 0.5.1: Add Ipea Editorial Standards to ‘ggplot2’ Graphics - diffify
{gooseR} 0.1.2: R Integration for ‘Goose’ AI - diffify
{vigicaen} 1.0.0: ‘VigiBase’ Pharmacovigilance Database Toolbox - diffify
{micar} 1.2.0: ‘Mica’ Data Web Portal Client - diffify
{AutoPlots} 1.5.0: Creating Echarts Visualizations as Easy as Possible - diffify
{tidydfidx} 0.0-3: Indexed ‘tibble’ and Methods for ‘dplyr’ - diffify
{resourcecode} 0.5.3: Access to the ‘RESOURCECODE’ Hindcast Database - diffify
{gifti} 0.9.0: Reads in ‘Neuroimaging’ ‘GIFTI’ Files with Geometry Information - diffify
{resourcer} 1.5.0: Resource Resolver - diffify
{tealeaves} 1.0.7: Solve for Leaf Temperature Using Energy Balance - diffify
{simulist} 0.7.0: Simulate Disease Outbreak Line List and Contacts Data - diffify
{SBMTrees} 1.4: Longitudinal Sequential Imputation and Prediction with Bayesian Trees Mixed-Effects Models for Longitudinal Data - diffify
{permute} 0.9-10: Functions for Generating Restricted Permutations of Data - diffify
{RSQLite} 2.4.6: SQLite Interface for R - diffify
{bindrcpp} 0.2.4: An ‘Rcpp’ Interface to Active Bindings - diffify
{mapycusmaximus} 1.0.7: Focus-Glue-Context Fisheye Transformations for Spatial Visualization - diffify
{tweedie} 3.0.10: Evaluation of Tweedie Exponential Family Models - diffify
{deSolve} 1.41: Solvers for Initial Value Problems of Differential Equations (‘ODE’, ‘DAE’, ‘DDE’) - diffify
{simPH} 1.3.15: Simulate and Plot Estimates from Cox Proportional Hazards Models - diffify
{GWSDAT} 3.3.0: GroundWater Spatiotemporal Data Analysis Tool (GWSDAT) - diffify
{DATAstudio} 1.2.2: The Research Data Warehouse of Miguel de Carvalho - diffify
{toOrdinal} 1.4-0.0: Cardinal to Ordinal Number & Date Conversion - diffify
{simStateSpace} 1.2.15: Simulate Data from State Space Models - diffify
{RPostgres} 1.4.9: C++ Interface to PostgreSQL - diffify
{RMariaDB} 1.3.5: Database Interface and MariaDB Driver - diffify
{partools} 1.1.7: Tools for the ‘Parallel’ Package - diffify
{mlVAR} 0.5.5: Multi-Level Vector Autoregression - diffify
{ggstatsplot} 0.13.5: ‘ggplot2’ Based Plots with Statistical Details - diffify
{gap} 1.9: Genetic Analysis Package - diffify
{BeeBDC} 1.3.3: Occurrence Data Cleaning - diffify
{sfc} 0.1.1: Substance Flow Computation - diffify
{Ruido} 1.0.2: Soundscape Background Noise, Power, and Saturation - diffify
{qryflow} 0.2.0: Execute Multi-Step ‘SQL’ Workflows - diffify
{hyper.gam} 0.2.2: Generalized Additive Models with Hyper Column - diffify
{gimap} 1.1.2: Calculate Genetic Interactions for Paired CRISPR Targets - diffify
{traumar} 1.2.4: Calculate Metrics for Trauma System Performance - diffify
{tidychangepoint} 1.0.4: A Tidy Framework for Changepoint Detection Analysis - diffify
{spectralGP} 1.3.4: Approximate Gaussian Processes Using the Fourier Basis - diffify
{Rparadox} 0.2.0: Read Paradox Database Files into R - diffify
{idmc} 0.4.1: Load and Wrangle IDMC Displacement Data - diffify
{survivoR} 2.3.10: Data from all Seasons of Survivor (US) TV Series in Tidy Format - diffify
{shinyloadtest} 1.2.1: Load Test Shiny Applications - diffify
{phsopendata} 1.0.3: Extract from the Scottish Health and Social Care Open Data Platform - diffify
{penetrance} 0.1.2: Methods for Penetrance Estimation in Family-Based Studies - diffify
{ZIBR} 1.0.3: A Zero-Inflated Beta Random Effect Model - diffify
{cTMed} 1.0.9: Continuous-Time Mediation - diffify
{PAMmisc} 1.12.7: Miscellaneous Functions for Passive Acoustic Analysis - diffify
{myTAI} 2.3.5: Evolutionary Transcriptomics - diffify
{ISAR} 1.0.2: Introduction to Sports Analytics using R (ISAR) Data - diffify
{HVT} 26.1.2: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis - diffify
{tidyCDISC} 0.2.2: Quick Table Generation & Exploratory Analyses on ADaM-Ish Datasets - diffify
{SlimR} 1.1.1: Adaptive Machine Learning-Powered, Context-Matching Tool for Single-Cell and Spatial Transcriptomics Annotation - diffify
{mMARCH.AC} 3.3.4.0: Processing of Accelerometry Data with ‘GGIR’ in mMARCH - diffify
{gridify} 0.7.7: Enrich Figures and Tables with Custom Headers and Footers and More - diffify
{BFS} 0.7.1: Get Data from the Swiss Federal Statistical Office - diffify
{tseffects} 0.2.1: Dynamic Inferences from Time Series (with Interactions) - diffify
{SEQTaRget} 1.3.5: Sequential Trial Emulation - diffify
{RastaRocket} 1.0.2: Rocket-Fast Clinical Research Reporting - diffify
{fru} 0.0.3: A Blazing Fast Implementation of Random Forest - diffify
{fluxible} 1.3.6: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup - diffify
{doRNG} 1.8.6.3: Generic Reproducible Parallel Backend for ‘foreach’ Loops - diffify
{ALDEx3} 1.0.2: Linear Models for Sequence Count Data - diffify
{restriktor} 0.6-30: Restricted Statistical Estimation and Inference for Linear Models - diffify
{statsExpressions} 1.7.3: Tidy Dataframes and Expressions with Statistical Details - diffify
{chronometre} 0.0.2: A ‘chronomètre’ is a ‘stopwatch’ - diffify
{aion} 1.7.0: Archaeological Time Series - diffify
{Rtwalk} 2.0.1: An MCMC Sampler Using the t-Walk Algorithm - diffify
{LOMAR} 0.5.2: Localization Microscopy Data Analysis - diffify
{emcAdr} 1.3: Evolutionary Version of the Metropolis-Hastings Algorithm - diffify
{convertid} 0.2.1: Convert Gene IDs Between Each Other and Fetch Annotations from Biomart - diffify
{cardargus} 0.2.1: Generate SVG Information Cards with Embedded Fonts and Badges - diffify
{BAwiR} 1.4.4: Analysis of Basketball Data - diffify
{automerge} 0.2.1: R Bindings for ‘Automerge’ ‘CRDT’ Library - diffify
{adjustedCurves} 0.11.4: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions - diffify
{mpathr} 1.0.4: Easily Handling Data from the ‘m-Path’ Platform - diffify
{isocountry} 0.6.0: ISO 3166-1 Country Codes - diffify
{discovr} 1.0.0: Interactive Tutorials and Data for “Discovering Statistics Using R and RStudio” - diffify
{smooth} 4.4.0: Forecasting Using State Space Models - diffify
{mlrpro} 0.1.3: Stepwise Regression with Assumptions Checking - diffify
{chunked} 0.6.2: Chunkwise Text-File Processing for ‘dplyr’ - diffify
{pmparser} 1.0.24: Create and Maintain a Relational Database of Data from PubMed/MEDLINE - diffify
{nuggets} 2.1.2: Extensible Framework for Data Pattern Exploration - diffify
{MetaHD} 0.1.4: A Multivariate Meta-Analysis Model for High-Dimensional Data - diffify
{efdm} 0.2.2: Simulate Forest Resources with the European Forestry Dynamics Model - diffify
{cctest} 2.2.2: Canonical Correlations and Tests of Independence - diffify
{robsurvey} 0.7-3: Robust Survey Statistics Estimation - diffify
{NMAR} 0.1.2: Estimation under not Missing at Random Nonresponse - diffify
{cluster} 2.1.8.2: “Finding Groups in Data”: Cluster Analysis Extended Rousseeuw et al. - diffify
{secretbase} 1.2.0: Cryptographic Hash, Extendable-Output and Binary/Text Encoding Functions - diffify
{scistreer} 1.2.1: Maximum-Likelihood Perfect Phylogeny Inference at Scale - diffify
{samc} 4.1.0: Spatial Absorbing Markov Chains - diffify
{robustbase} 0.99-7: Basic Robust Statistics - diffify
{gammaFuncModel} 6.0: Non-Linear Mixed Effects Model Based on the Gamma Function Form - diffify
{DLMtool} 6.0.7: Data-Limited Methods Toolkit - diffify
{COMIX} 1.0.2: Coarsened Mixtures of Hierarchical Skew Kernels - diffify
{collections} 0.3.11: High Performance Container Data Types - diffify
{cardx} 0.3.2: Extra Analysis Results Data Utilities - diffify
{PAMscapes} 0.15.0: Tools for Summarising and Analysing Soundscape Data - diffify
{vowels} 1.2-3: Vowel Manipulation, Normalization, and Plotting - diffify
{SCORPION} 1.3.0: Single Cell Oriented Reconstruction of PANDA Individual Optimized Networks - diffify
{rfoaas} 2.3.3: R Interface to ‘FOAAS’ - diffify
{kDGLM} 1.2.12: Bayesian Analysis of Dynamic Generalized Linear Models - diffify
{hexify} 0.3.10: Equal-Area Hex Grids on the ‘Snyder’ ‘ISEA’ ‘Icosahedron’ - diffify
{EpiNow2} 1.8.0: Estimate and Forecast Real-Time Infection Dynamics - diffify
{admiralneuro} 0.2.1: Neuroscience Extension Package for ADaM in ‘R’ Asset Library - diffify
{markets} 1.1.7: Estimation Methods for Markets in Equilibrium and Disequilibrium - diffify
{complex} 1.0.2: Time Series Analysis and Forecasting Using Complex Variables - diffify
{estadistica} 1.2.1: Fundamentos de estadística descriptiva e inferencial - diffify
{sparsevar} 1.0.0: Sparse VAR (Vector Autoregression) / VECM (Vector Error Correction Model) Estimation - diffify
{skmeans} 0.2-19: Spherical k-Means Clustering - diffify
{ghypernet} 1.1.2: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs - diffify
{anomo} 1.3.2: Analysis of Moderation, Statistical Power, and Optimal Design for Studies Detecting Difference and Equivalence - diffify
{socialmixr} 0.5.1: Social Mixing Matrices for Infectious Disease Modelling - diffify
{SignalY} 1.1.1: Signal Extraction from Panel Data via Bayesian Sparse Regression and Spectral Decomposition - diffify
{PanelTM} 1.1: Two- And Three-Way Dynamic Panel Threshold Regression Model for Change Point Detection - diffify
{kindling} 0.2.0: Higher-Level Interface of ‘torch’ Package to Auto-Train Neural Networks - diffify
{FlexReg} 1.4.2: Regression Models for Bounded Continuous and Discrete Responses - diffify
{CSHShydRology} 1.4.6: Canadian Hydrological Analyses - diffify
{CEC} 0.11.3: Cross-Entropy Clustering - diffify
{BayesMallowsSMC2} 0.2.1: Nested Sequential Monte Carlo for the Bayesian Mallows Model - diffify
{AQuadtree} 1.0.6: Confidentiality of Spatial Point Data - diffify
{AgeBandDecomposition} 2.0.0: Age Band Decomposition Method for Tree Ring Standardization - diffify
{PaRe} 0.1.16: A Way to Perform Code Review or QA on Other Packages - diffify
{metadeconfoundR} 1.0.5: Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional Data - diffify
{goat} 1.1.5: Gene Set Analysis Using the Gene Set Ordinal Association Test - diffify
{ediblecity} 0.2.2: Modeling Urban Agriculture at City Scale - diffify
{cinaR} 0.2.6: A Computational Pipeline for Bulk ‘ATAC-Seq’ Profiles - diffify
{restatapi} 0.24.5: Search and Retrieve Data from Eurostat Database - diffify
{ggiraph} 0.9.4: Make ‘ggplot2’ Graphics Interactive - diffify
{performance} 0.16.0: Assessment of Regression Models Performance - diffify
{mlr3cluster} 0.2.0: Cluster Extension for ‘mlr3’ - diffify
{MAIVE} 0.2.4: Meta Analysis Instrumental Variable Estimator - diffify
{EFA.dimensions} 0.1.8.6: Exploratory Factor Analysis Functions for Assessing Dimensionality - diffify
{weatherjoin} 0.2.2: Join Gridded Weather Data to Event Tables - diffify
{esviz} 0.0.2: Plotting Functions for Climate Science and Services - diffify
{EQUALPrognosis} 0.1.2: Analysing Prognostic Studies - diffify
{tidywikidatar} 0.6.0: Explore ‘Wikidata’ Through Tidy Data Frames - diffify
{manydist} 0.4.9: Unbiased Distances for Mixed-Type Data - diffify
{insight} 1.4.6: Easy Access to Model Information for Various Model Objects - diffify
{fanyi} 0.1.1: Translate Words or Sentences via Online Translators - diffify
{tteICE} 1.1.1: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events - diffify
{sae.projection} 0.1.5: Small Area Estimation Using Model-Assisted Projection Method - diffify
{numbat} 1.5.2: Haplotype-Aware CNV Analysis from scRNA-Seq - diffify
{lubridate} 1.9.5: Make Dealing with Dates a Little Easier - diffify
{lsirm12pl} 2.0.0: Latent Space Item Response Model - diffify
{littler} 0.3.22: R at the Command-Line via ‘r’ - diffify
{healthbR} 0.1.1: Access Brazilian Public Health Data - diffify
{DiSCos} 0.1.2: Distributional Synthetic Controls Estimation - diffify
{beast} 1.2: Bayesian Estimation of Change-Points in the Slope of Multivariate Time-Series - diffify
{visOmopResults} 1.4.2: Graphs and Tables for OMOP Results - diffify
{viridisLite} 0.4.3: Colorblind-Friendly Color Maps (Lite Version) - diffify
{rqPen} 4.2: Penalized Quantile Regression - diffify
{PortfolioAnalytics} 2.1.1: Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios - diffify
{brickster} 0.2.12: R Toolkit for ‘Databricks’ - diffify
{bgw} 0.1.4: Bunch-Gay-Welsch Statistical Estimation - diffify
{contoso} 2.0.0: Dataset of the ‘Contoso’ Company - diffify
{glyparse} 0.5.5: Parsing Glycan Structure Text Representations - diffify
{animl} 3.2.0: A Collection of ML Tools for Conservation Research - diffify
{wizaRdry} 0.6.4: A Magical Framework for Collaborative & Reproducible Data Analysis - diffify
{verdata} 1.0.2: Analyze Data from the Truth Commission in Colombia - diffify
{optrefine} 1.1.1: Optimally Refine Strata - diffify
{natstrat} 2.0.1: Obtain Unweighted Natural Strata that Balance Many Covariates - diffify
{HTGM2D} 1.1.1: Two Dimensional High Throughput ‘GoMiner’ - diffify
{bmemLavaan} 0.7: Mediation Analysis with Missing Data and Non-Normal Data - diffify
{layer} 0.0.4: Tilt your Maps and Turn Them into ‘ggplot’ Plots - diffify
CRANberries NEW:
{whisper} 0.1.0: Native R ‘torch’ Implementation of ‘OpenAI’ ‘Whisper’
{vascr} 0.1.4: Process Biological Impedance Sensing Data
{tirt} 0.1.3: Testlet Item Response Theory
{nlmixr2auto} 1.0.0: Automated Population Pharmacokinetic Modeling
{keyed} 0.1.3: Explicit Key Assumptions for Flat-File Data
{indonesiaFootballScoutR} 0.1.3: Tools for Football Player Scouting in Indonesia
{bioLeak} 0.1.0: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
{bayesics} 2.0.2: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
{BayesianHybridDesign} 0.1.0: Bayesian Hybrid Design and Analysis
{areaOfEffect} 0.2.4: Spatial Support at Scale
{wired} 1.0.0: Weighted Adaptive Prediction with Structured Dependence
{snreg} 1.2.0: Regression with Skew-Normally Distributed Error Term
{resLIK} 0.1.2: Representation-Level Control Surfaces for Reliability Sensing
{PPtreeExt} 0.1.0: Projection Pursuit Classification Tree Extensions
{mortSOA} 0.1.0: Obtain Data from the Society of Actuaries ‘Mortality and Other Rate Tables’ Site
{tidylearn} 0.1.0: A Unified Tidy Interface to R’s Machine Learning Ecosystem
{quickSentiment} 0.1.0: A Fast and Flexible Pipeline for Text Classification
{numspellR} 0.1.0: Detection of Numeric Persistence and Rigidity Patterns
{climenu} 0.1.3: Interactive Command-Line Menus
{roxigraph} 0.1.0: ‘RDF’ and ‘SPARQL’ for R using ‘Oxigraph’
{regextable} 0.1.1: Pattern-Based Text Extraction and Standardization with Lookup Tables
{wlsd} 1.0.1: Wrangling Longitudinal Survival Data
{Orangutan} 2.0.0: Automated Analysis of Phenotypic Data
{marinepredator} 0.0.1: Marine Predators Algorithm
{GalaxyR} 0.1.0: ‘Galaxy’ API Implementation
{directadjusting} 0.6.1: Directly Adjusted Estimates
{SNMA} 0.1.5: Stream Network Movement Analyses
{ppweibull} 1.0: Piecewise Lifetime Models
{gsDesignTune} 0.1.0: Dependency-Aware Scenario Exploration for Group Sequential Designs
{avstrat} 0.1.1: Stratigraphic Data Processing and Section Plots
{typeR} 0.2.0: Simulate Typing Script
{tidyextreme} 1.0.0: A Tidy Toolbox for Climate Extreme Indices
{sqlm} 0.1.0: SQL-Backed Linear Regression
{setweaver} 1.0.0: Building Sets of Variables in a Probabilistic Framework
{fru} 0.0.3: A Blazing Fast Implementation of Random Forest
{CurricularComplexityData} 0.1.0: Data for Exploring Curricular Complexity
{vismi} 0.9.5: Visual Diagnostics for Multiple Imputation
{sleacr} 0.1.3: Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Tools
{rcatfish} 1.0.0: An R Interface to the California Academy of Sciences Eschmeyer’s Catalog of Fishes
{SepTest} 0.0.1: Tests for First-Order Separability in Spatio-Temporal Point Processes
{SemiparMF} 1.0.0: Semiparametric Spatiotemporal Model with Mixed Frequencies
{scenfire} 0.1.0: Post-Processing Algorithm for Integrating Wildfire Simulations
{multiRec} 1.0.6: Analysis of Multi-Type Recurrent Events
{gipsDA} 0.1.2: Training DA Models Utilizing ‘gips’
{findn} 0.1.0: Simulation Based Sample Size Estimation
{educabR} 0.1.0: Download and Process Brazilian Education Data from INEP
{BayesMallowsSMC2} 0.2.1: Nested Sequential Monte Carlo for the Bayesian Mallows Model
{sasif} 0.1.2: ‘SAS’ IF Style Data Step Logic for Data Tables
{phinterval} 1.0.0: Set Operations on Time Intervals
{multiSA} 0.1.0: Multi-Stock Assessment
{MADtests} 0.1.1: Hypothesis Tests and Confidence Intervals for Median Absolute Deviations
{baselinenowcast} 0.2.0: Baseline Nowcasting for Right-Truncated Epidemiological Data
{spanner} 1.0.2: Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale
{opusreader2} 0.6.8: Read Spectroscopic Data from Bruker OPUS Binary Files
{nomiShape} 1.0.0: Visualization and Analysis of Nominal Variable Distributions
{healthbR} 0.1.1: Access Brazilian Public Health Data
{CGMissingDataR} 0.0.1: Missingness Benchmark for Continuous Glucose Monitoring Data
{rotulador} 1.0.0: Useful Functions for Programming and Generating Documents
{fluxfixer} 1.0.0: Advanced Framework for Sap Flow Data Post-Process
{blindspiker} 0.2.0: Laboratory Blind Spike Sample Analyses
{BioGSP} 1.0.0: Biological Graph Signal Processing for Spatial Data Analysis
{SVG} 1.0.0: Spatially Variable Genes Detection Methods for Spatial Transcriptomics
{date4ts} 0.1.1: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
{comphy} 1.0.5: Functions Used in the Book “Computational Physics with R”
{blockstrap} 1.0.0: Sample Dataframes by a Group
{adsasi} 0.9.0.1: Adaptive Sample Size Simulator

RSS POSTS: ##

RSS POSTS:

CRANberries UPDATED:

CRANberries NEW: