RSS POSTS: ##
RSS POSTS:
- Calling =TECHTO_SURVIVAL for Survival Analysis in Excel is just a matter of copying and pasting
- Calling =TECHTO_SIMULATION for Stochastic Simulation in Excel is just a matter of copying and pasting
- Calling =TECHTO_FORECAST for forecasting in Excel is just a matter of copying and pasting
- Random Vector Functional Link (RVFL) artificial neural network with 2 regularization parameters successfully used for forecasting/synthetic simulation in professional settings: Extensions (including Bayesian)
- You can outsource the grunt work to an LLM, not expertise
- R Package Quality: Documentation
- Building Trust with Code: Validating Shiny Apps in Regulated Environments
- Counting Digits Quickly
- Strength in Numbers
- “Visualise, Optimise, Parameterise!” - Writing dataviz code - UPDATED
- RcppArmadillo 14.6.0-1 on CRAN: New Upstream Minor Release
- Rcpp 1.1.0 on CRAN: C++11 now Minimum, Regular Semi-Annual Update
- Open Science with a Latin American Identity: Meet the New Cohort of the rOpenSci Champions Program
- latent: R package for the efficient estimation of large latent variable models
- How to Use R with Excel workshop
- Predicting Gold Prices: Backtesting of ML Models
- Forecasting the UEFA Women’s Euro 2025 with enhanced statistical learning
- How to Use xtabs() in R to Calculate Frequencies: A Comprehensive Guide
- Decoding OAuth2 M2M with httr2: Client Setup & API Testing
- 3MW (Writing SQL in R Efficiently)
- New release of mapsf: version 1.0.0
- An Introduction to Behavior-Driven Development in R
- Posit @ PyCon US 2025: Try Our Demo Labs!
- May 2025 Top 40 New CRAN Packages
- Specialized R packages for spatial cross-validation: sperrorest and blockCV
CRANberries UPDATED:
- {gausscov} 1.1.6: The Gaussian Covariate Method for Variable Selection - diffify
- {avesperu} 0.0.6: Access to the List of Birds Species of Peru - diffify
- {confidence} 1.1-3: Confidence Estimation of Environmental State Classifications - diffify
- {stepmixr} 0.1.3: Interface to ‘Python’ Package ‘StepMix’ - diffify
- {rcrisp} 0.1.4: Automate the Delineation of Urban River Spaces - diffify
- {pillar} 1.11.0: Coloured Formatting for Columns - diffify
- {ggpedigree} 0.8.0: Visualizing Pedigrees with ‘ggplot2’ and ‘plotly’ - diffify
- {WARDEN} 1.2.4: Workflows for Health Technology Assessments in R using Discrete EveNts - diffify
- {PoSIAdjRSquared} 0.1.0: Post-Selection Inference for Adjusted R Squared - diffify
- {latrend} 1.6.2: A Framework for Clustering Longitudinal Data - diffify
- {admiralophtha} 1.3.0: ADaM in R Asset Library - Ophthalmology - diffify
- {qch} 2.1.0: Query Composite Hypotheses - diffify
- {lares} 5.3.1: Lean Analytics and Robust Exploration Sidekick - diffify
- {pharmaversesdtm} 1.3.0: SDTM Test Data for the ‘Pharmaverse’ Family of Packages - diffify
- {litteR} 1.0.1: Litter Analysis - diffify
- {mgcViz} 0.2.1: Visualisations for Generalized Additive Models - diffify
- {icmstate} 0.2.0: Interval Censored Multi-State Models - diffify
- {CalibrationCurves} 2.0.6: Calibration Performance - diffify
- {BCEA} 2.4.8: Bayesian Cost Effectiveness Analysis - diffify
- {sampcompR} 0.3.1.2: Comparing and Visualizing Differences Between Surveys - diffify
- {equatiomatic} 0.3.7: Transform Models into ‘LaTeX’ Equations - diffify
- {benthos} 1.3-9: Marine Benthic Ecosystem Analysis - diffify
- {HVT} 25.2.5: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis - diffify
- {biometryassist} 1.3.1: Functions to Assist Design and Analysis of Agronomic Experiments - diffify
- {openxlsx2} 1.17: Read, Write and Edit ‘xlsx’ Files - diffify
- {tern.mmrm} 0.3.3: Tables and Graphs for Mixed Models for Repeated Measures (MMRM) - diffify
- {kanova} 0.3-18: Quasi Analysis of Variance for K-Functions - diffify
- {PPSFS} 0.1.1: Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models - diffify
- {vosonSML} 0.35.1: Collecting Social Media Data and Generating Networks for Analysis - diffify
- {scpi} 3.0.1: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption - diffify
- {tidywater} 0.9.0: Water Quality Models for Drinking Water Treatment Processes - diffify
- {netCoin} 2.1.9: Interactive Analytic Networks - diffify
- {longevity} 1.2.1: Statistical Methods for the Analysis of Excess Lifetimes - diffify
- {msigdbr} 25.1.0: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format - diffify
- {acro} 0.1.5: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs - diffify
- {nanoarrow} 0.7.0: Interface to the ‘nanoarrow’ ‘C’ Library - diffify
- {mapgl} 0.3.1: Interactive Maps with ‘Mapbox GL JS’ and ‘MapLibre GL JS’ - diffify
- {gtsummary} 2.3.0: Presentation-Ready Data Summary and Analytic Result Tables - diffify
- {fitdistrplus} 1.2-4: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data - diffify
- {yhat} 2.0-5: Interpreting Regression Effects - diffify
- {ideanet} 1.1.1: Integrating Data Exchange and Analysis for Networks (‘ideanet’) - diffify
- {epm} 1.1.5: EcoPhyloMapper - diffify
- {troopdata} 1.0.4: Tools for Analyzing Cross-National Military Deployment and Basing Data - diffify
- {rD3plot} 1.1.37: Interactive Networks, Timelines, Barplots, Galleries with ‘D3.js’ - diffify
- {gFormulaMI} 1.0.2: G-Formula for Causal Inference via Multiple Imputation - diffify
- {eventstudyr} 1.1.4: Estimation and Visualization of Linear Panel Event Studies - diffify
- {cardx} 0.2.5: Extra Analysis Results Data Utilities - diffify
- {galamm} 0.2.3: Generalized Additive Latent and Mixed Models - diffify
- {alqrfe} 1.2: Adaptive Lasso Quantile Regression with Fixed Effects - diffify
- {tinytable} 0.10.0: Simple and Configurable Tables in ‘HTML’, ‘LaTeX’, ‘Markdown’, ‘Word’, ‘PNG’, ‘PDF’, and ‘Typst’ Formats - diffify
- {statgenHTP} 1.0.9.1: High Throughput Phenotyping (HTP) Data Analysis - diffify
- {mlr3} 1.0.1: Machine Learning in R - Next Generation - diffify
- {migest} 2.0.5: Tools for Estimating, Measuring and Working with Migration Data - diffify
- {mapi} 1.1.4: Mapping Averaged Pairwise Information - diffify
- {cards} 0.6.1: Analysis Results Data - diffify
- {eyeris} 2.0.0: Flexible, Extensible, & Reproducible Pupillometry Preprocessing - diffify
- {shiny} 1.11.1: Web Application Framework for R - diffify
- {ggfortify} 0.4.18: Data Visualization Tools for Statistical Analysis Results - diffify
- {iAR} 1.3.1: Irregularly Observed Autoregressive Models - diffify
- {thisutils} 0.0.5: Collection of Utility Functions for Data Analysis and Computing - diffify
- {iNZightTS} 2.0.2: Time Series for ‘iNZight’ - diffify
- {spmodel} 0.11.0: Spatial Statistical Modeling and Prediction - diffify
- {Directional} 7.2: A Collection of Functions for Directional Data Analysis - diffify
- {Ake} 1.0.2: Associated Kernel Estimations - diffify
- {repmis} 0.5.1: Miscellaneous Tools for Reproducible Research - diffify
- {rddtools} 2.0.1: Toolbox for Regression Discontinuity Design (‘RDD’) - diffify
- {lfproQC} 1.4.1: Quality Control for Label-Free Proteomics Expression Data - diffify
- {ggstats} 0.10.0: Extension to ‘ggplot2’ for Plotting Stats - diffify
- {DrugUtilisation} 1.0.4: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model - diffify
- {coda.base} 1.0.3: A Basic Set of Functions for Compositional Data Analysis - diffify
- {Robyn} 3.12.1: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science - diffify
- {missingHE} 1.5.1: Missing Outcome Data in Health Economic Evaluation - diffify
- {bspcov} 1.0.2: Bayesian Sparse Estimation of a Covariance Matrix - diffify
- {tidyplots} 0.3.1: Tidy Plots for Scientific Papers - diffify
- {rencher} 0.1.4: Datasets from the Book “Methods of Multivariate Analysis (3rd)” - diffify
- {RcppArmadillo} 14.6.0-1: ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library - diffify
- {ctrdata} 1.23.0: Retrieve and Analyze Clinical Trials Data from Public Registers - diffify
- {PopGenHelpR} 1.4.0: Streamline Population Genomic and Genetic Analyses - diffify
- {fractalforest} 1.0.1: Simulate Fractal Trees and Forests - diffify
- {xlsxjars} 0.9.0: Package Required POI Jars for the xlsx Package - diffify
- {track2KBA} 1.1.3: Identifying Important Areas from Animal Tracking Data - diffify
- {survivalSL} 0.98: Super Learner for Survival Prediction from Censored Data - diffify
- {RRgeo} 0.0.5: Species Distribution Modelling for Rare Species - diffify
- {Rcpp} 1.1.0: Seamless R and C++ Integration - diffify
- {Patterns} 1.6: Deciphering Biological Networks with Patterned Heterogeneous Measurements - diffify
- {iNEXT.3D} 1.0.10: Interpolation and Extrapolation for Three Dimensions of Biodiversity - diffify
- {GDINA} 2.9.12: The Generalized DINA Model Framework - diffify
- {fetwfe} 1.5.0: Fused Extended Two-Way Fixed Effects - diffify
- {dm} 1.0.12: Relational Data Models - diffify
- {tidytlg} 0.10.0: Create TLGs using the ‘tidyverse’ - diffify
- {ratlas} 0.1.1: ATLAS Formatting Functions and Templates - diffify
- {vcfppR} 0.8.0: Rapid Manipulation of the Variant Call Format (VCF) - diffify
- {JustifyAlpha} 0.1.2: Justifying Alpha Levels for Hypothesis Tests - diffify
- {PFIM} 7.0: Population Fisher Information Matrix - diffify
- {manydist} 0.4.5: Unbiased Distances for Mixed-Type Data - diffify
- {restoptr} 1.1.1: Ecological Restoration Planning - diffify
- {qpdf} 1.4.1: Split, Combine and Compress PDF Files - diffify
- {predRupdate} 0.2.1: Prediction Model Validation and Updating - diffify
- {ggsurveillance} 0.5.1: Tools for Outbreak Investigation/Infectious Disease Surveillance - diffify
- {cobs} 1.3-9-1: Constrained B-Splines (Sparse Matrix Based) - diffify
- {survivalPLANN} 0.4: Neural Networks to Predict Survival - diffify
- {SLOPE} 1.0.1: Sorted L1 Penalized Estimation - diffify
- {reproducibleRchunks} 1.1.0: Automated Reproducibility Checks for R Markdown Documents - diffify
- {qmd} 1.1.3: Quantification of Multivariate Dependence - diffify
- {qad} 1.0.5: Quantification of Asymmetric Dependence - diffify
- {pdcor} 1.2: Fast and Light-Weight Partial Distance Correlation - diffify
- {ordr} 0.1.2: A ‘tidyverse’ Extension for Ordinations and Biplots - diffify
- {mappeR} 2.2.1: Construct and Visualize TDA Mapper Graphs - diffify
- {jsmodule} 1.6.11: ‘RStudio’ Addins and ‘Shiny’ Modules for Medical Research - diffify
- {AgroR} 1.3.7: Experimental Statistics and Graphics for Agricultural Sciences - diffify
- {WINS} 1.5.1: The R WINS Package - diffify
- {SCE} 1.1.0: Stepwise Clustered Ensemble - diffify
- {invgamma} 1.2: The Inverse Gamma Distribution - diffify
- {ggbreak} 0.1.5: Set Axis Break for ‘ggplot2’ - diffify
- {aplot} 0.2.8: Decorate a ‘ggplot’ with Associated Information - diffify
- {ottr} 1.5.2: An R Autograding Extension for Otter-Grader - diffify
- {BMEmapping} 1.0.0: Spatial Interpolation using Bayesian Maximum Entropy (BME) - diffify
- {vectorsurvR} 1.5.0: Data Access and Analytical Tools for ‘VectorSurv’ Users - diffify
- {piiR} 0.3.0: Predictive Information Index (‘PII’) - diffify
- {itsdm} 0.2.2: Isolation Forest-Based Presence-Only Species Distribution Modeling - diffify
- {AgroReg} 1.2.11: Regression Analysis Linear and Nonlinear for Agriculture - diffify
- {covidcast} 0.5.3: Client for Delphi’s ‘COVIDcast Epidata’ API - diffify
- {ageutils} 0.0.9: Collection of Functions for Working with Age Intervals - diffify
- {RegDDM} 1.1: Generalized Linear Regression with DDM - diffify
- {isoWater} 1.2.1: Discovery, Retrieval, and Analysis of Water Isotope Data - diffify
- {zdeskR} 0.6.0: Connect to Your ‘Zendesk’ Data - diffify
- {evolMap} 1.3.14: Dynamic and Interactive Maps - diffify
- {adelie} 1.0.8: Group Lasso and Elastic Net Solver for Generalized Linear Models - diffify
- {mapsf} 1.0.0: Thematic Cartography - diffify
- {plotor} 0.7.0: Produces an Odds Ratio Plot from a Logistic Regression Model - diffify
- {Rogue} 2.1.7: Identify Rogue Taxa in Sets of Phylogenetic Trees - diffify
- {quantdr} 1.3.2: Dimension Reduction Techniques for Conditional Quantiles - diffify
- {smooth} 4.3.0: Forecasting Using State Space Models - diffify
- {metagam} 0.4.1: Meta-Analysis of Generalized Additive Models - diffify
- {countfitteR} 1.5: Comprehensive Automatized Evaluation of Distribution Models for Count Data - diffify
- {AccelStab} 2.3.1: Accelerated Stability Kinetic Modelling - diffify
- {prompter} 1.2.1: Add Tooltips in ‘Shiny’ Apps with ‘Hint.css’ - diffify
- {bayestestR} 0.16.1: Understand and Describe Bayesian Models and Posterior Distributions - diffify
- {postcard} 1.0.1: Estimating Marginal Effects with Prognostic Covariate Adjustment - diffify
- {statgenIBD} 1.0.9: Calculation of IBD Probabilities - diffify
- {statgenGWAS} 1.0.12: Genome Wide Association Studies - diffify
- {meteospain} 0.2.1: Access to Spanish Meteorological Stations Services - diffify
- {jstable} 1.3.13: Create Tables from Different Types of Regression - diffify
- {palettes} 0.2.2: Methods for Colour Vectors and Colour Palettes - diffify
- {insight} 1.3.1: Easy Access to Model Information for Various Model Objects - diffify
- {zCompositions} 1.5.0-5: Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets - diffify
- {sparklyr} 1.9.1: R Interface to Apache Spark - diffify
- {maplegend} 0.3.0: Legends for Maps - diffify
- {ggseqplot} 0.8.7: Render Sequence Plots using ‘ggplot2’ - diffify
- {greybox} 2.0.5: Toolbox for Model Building and Forecasting - diffify
- {PLMIX} 2.2.0: Bayesian Analysis of Finite Mixture of Plackett-Luce Models - diffify
- {wintime} 0.4.0: Win Time Methods for Time-to-Event Data in Clinical Trials - diffify
- {segtest} 2.0.0: Tests for Segregation Distortion in Polyploids - diffify
- {Rmonize} 2.0.0: Tools for Data Harmonization - diffify
- {fixes} 0.4.1: Tools for Creating and Visualizing Fixed-Effects Event Study Models - diffify
- {autocogs} 0.1.5: Automatic Cognostic Summaries - diffify
- {shadowtext} 0.1.5: Shadow Text Grob and Layer - diffify
- {ggtangle} 0.0.7: Draw Network with Data - diffify
- {difNLR} 1.5.1-4: DIF and DDF Detection by Non-Linear Regression Models - diffify
- {ctsem} 3.10.4: Continuous Time Structural Equation Modelling - diffify
- {spls} 2.3-2: Sparse Partial Least Squares (SPLS) Regression and Classification - diffify
- {riskdiff} 0.2.1: Risk Difference Estimation with Multiple Link Functions and Inverse Probability of Treatment Weighting - diffify
- {portalr} 0.4.4: Create Useful Summaries of the Portal Data - diffify
- {MECfda} 0.2.1: Scalar-on-Function Regression with Measurement Error Correction - diffify
- {GeDS} 0.3.3: Geometrically Designed Spline Regression - diffify
- {EIAapi} 0.2.0: Query Data from the ‘EIA’ API - diffify
- {Rsolnp} 2.0.1: General Non-Linear Optimization - diffify
- {ggghost} 0.2.3: Capture the Spirit of Your ‘ggplot2’ Calls - diffify
- {Docovt} 0.2: Distributed Online Covariance Matrix Tests - diffify
- {spcosa} 0.4-4: Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata - diffify
- {doBy} 4.7.0: Groupwise Statistics, LSmeans, Linear Estimates, Utilities - diffify
- {robreg3S} 0.3-1: Three-Step Regression and Inference for Cellwise and Casewise Contamination - diffify
- {plotdap} 1.1.0: Easily Visualize Data from ‘ERDDAP™’ Servers via the ‘rerddap’ Package - diffify
- {tclust} 2.1-2: Robust Trimmed Clustering - diffify
- {scan} 0.65.0: Single-Case Data Analyses for Single and Multiple Baseline Designs - diffify
- {libdeflate} 1.24-4: DEFLATE Compression and Static Library - diffify
- {scplot} 0.6.0: Plot Function for Single-Case Data Frames - diffify
- {harbinger} 1.2.727: A Unified Time Series Event Detection Framework - diffify
- {grpSLOPE} 0.3.4: Group Sorted L1 Penalized Estimation - diffify
- {daltoolboxdp} 1.2.727: Python-Based Extensions for Data Analytics Workflows - diffify
- {TraMineR} 2.2-12: Trajectory Miner: a Sequence Analysis Toolkit - diffify
- {ddplot} 0.0.2: Create D3 Based SVG Graphics - diffify
- {JFE} 2.5.11: Tools for Analyzing Time Series Data of Just Finance and Econometrics - diffify
- {ExtremalDep} 0.0.4-5: Extremal Dependence Models - diffify
- {wordmap} 0.9.4: Feature Extraction and Document Classification with Noisy Labels - diffify
- {webmockr} 2.1.0: Stubbing and Setting Expectations on ‘HTTP’ Requests - diffify
- {alternativeROC} 1.0.0: Alternative and Fast ROC Analysis - diffify
CRANberries NEW:
- {viralx} 1.3.1: Explainers for Regression Models in HIV Research
- {semEffect} 1.2.3: Structural Equation Model Effect Analysis and Visualization
- {hmde} 1.2.1: Hierarchical Methods for Differential Equations
- {BayesBrainMap} 0.1.3: Estimate Brain Networks and Connectivity with Population-Derived Priors
- {HaDeX} 1.2.3: Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data
- {ttScreening} 1.7: Genome-Wide DNA Methylation Sites Screening by Use of Training and Testing Samples
- {tabr} 0.5.3: Music Notation Syntax, Manipulation, Analysis and Transcription in R
- {LongDecompHE} 0.1.0: Longitudinal Decomposition of Health Expectancy by Age and Cause
- {contdid} 0.1.0: Difference-in-Differences with a Continuous Treatment
- {ciflyr} 0.1.1: Reachability-Based Primitives for Graphical Causal Inference
- {rbioapi} 0.8.3: User-Friendly R Interface to Biologic Web Services’ API
- {MSclassifR} 0.4.0: Automated Classification of Mass Spectra
- {fishboot} 1.0.2: Bootstrap-Based Methods for the Study of Fish Stocks and Aquatic Populations
- {unifyR} 1.0.0: Unified Scores, Reliabilities and Validities from Multiple Tests
- {rcrisp} 0.1.4: Automate the Delineation of Urban River Spaces
- {r4pde} 0.1.0: Companion to R for Plant Disease Epidemiology Book
- {pwSEM} 1.0.0: Piecewise Structural Equation Modelling
- {autograph} 0.1.2: Automatic Plotting of Many Graphs
- {FKmL} 0.1.1: Fréchet Distance-Based K-Means and Extensions for Longitudinal Data
- {libimath} 3.1.9-4: ‘Imath’ Computer Graphics Linear Algebra Static Library
- {distfreereg} 1.1: Distribution-Free Goodness-of-Fit Testing for Regression
- {kinesis} 0.2.0: ‘shiny’ Applications for the ‘tesselle’ Packages
- {gilmour} 0.1.0: The Interpretation of Adjusted Cp Statistic
- {cgaim} 1.0.2: Constrained Groupwise Additive Index Models
- {vecvec} 0.1.0: Construct Mixed Type Data Structures with Vectors of Vectors
- {SimBaRepro} 0.1.0: Simulation-Based, Finite-Sample Inference via Repro Samples
- {GJRM.data} 0.1-1: Data Sets for Copula Additive Distributional Regression Using R
- {ecoteach} 0.1.0: Educational Datasets for Ecology and Agriculture «««< HEAD
CRANberries NEW:
- {MultiLCIRT} 2.12: Multidimensional Latent Class Item Response Theory Models
- {smvr} 0.1.0: Simple Implementation of Semantic Versioning
- {gemR} 1.2.1: General Effect Modelling
- {ClimaRep} 0.6: Estimating Climate Representativeness
- {clampSeg} 1.2-0: Idealisation of Patch Clamp Recordings
- {BayesRegDTR} 1.0.1: Bayesian Regression for Dynamic Treatment Regimes
- {avseqmc} 1.0.1: Anytime-Valid Sequential Estimation of Monte-Carlo p-Values
- {safeframe} 1.0.0: Generic Data Tagging and Validation Tool
- {REMixed} 0.1.0: Regularized Estimation in Mixed Effect Model
- {mdsOpt} 0.7-7: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
- {detectXOR} 0.1.0: XOR Pattern Detection and Visualization
- {oppr} 1.0.5: Optimal Project Prioritization
- {symbolicDA} 0.7-2: Analysis of Symbolic Data
- {scMappR} 1.0.12: Single Cell Mapper
- {MAPCtools} 0.1.0: Multivariate Age-Period-Cohort (MAPC) Modeling for Health Data
- {kvkapiR} 0.1.2: Interface to the Dutch Chamber of Commerce (KvK) API
- {imageRy} 0.1.1: Modify and Share Images
- {HOIFCar} 0.2.1: Covariate Adjustment in RCT by Higher-Order Influence Functions
- {m2b} 1.1.0: Movement to Behaviour Inference using Random Forest
- {GOCompare} 1.0.2.2: Comprehensive GO Terms Comparison Between Species
- {psgp} 0.3-22: Projected Spatial Gaussian Process Methods
- {neotoma2} 1.0.6: Working with the Neotoma Paleoecology Database
- {limSolve} 2.0.1: Solving Linear Inverse Models
- {abn} 3.1.9: Modelling Multivariate Data with Additive Bayesian Networks
- {notionR} 0.0.9: R Wrapper for ‘Notion’ API
- {ggmRSCU} 0.1.0: Visualizing Multi-Species Relative Synonymous Codon Usage and Extensible Data Exploration
- {boilerplate} 1.3.0: Managing and Compiling Manuscript Templates
- {aamatch} 0.3.7: Artless Automatic Multivariate Matching for Observational Studies
- {vitals} 0.1.0: Large Language Model Evaluation
- {paddleR} 0.1.2: Wrapper for ‘Paddle’ API (Application Programming Interface)
- {OpenBARD} 0.0.1: Open British Arboricultural Record Dataset
- {movedesign} 0.3.1: Study Design Toolbox for Movement Ecology Studies
- {fastpolicytree} 1.0: Constructs Policy Trees from Covariate and Reward Data
- {NMRphasing} 1.0.7: Phase Error Correction and Baseline Correction for One Dimensional (‘1D’) ‘NMR’ Data
- {libdeflate} 1.24-3: DEFLATE Compression and Static Library Mixtures
- {ManyIVsNets} 0.1.1: Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks
- {DNAmf} 0.1.0: Diffusion Non-Additive Model with Tunable Precision
- {slopes} 1.0.1: Calculate Slopes of Roads, Rivers and Trajectories
- {SelfControlledCaseSeries} 6.0.0: Self-Controlled Case Series
- {SCE} 1.0.0: Stepwise Clustered Ensemble
- {neutroSurvey} 0.1.0: Neutrosophic Survey Data Analysis
- {MinTriadic} 1.0.0: Extension to the ‘Lolog’ Package for ‘Triadic’ Network Statistics
- {midr} 0.5.0: Learning from Black-Box Models by Maximum Interpretation Decomposition
- {letsHerp} 0.1.0: An Interface to the Reptile Database
- {kerdiest} 1.3-1: Nonparametric Kernel Estimation of Distribution Function
- {clinpubr} 1.0.1: Clinical Publication
- {FLSSS} 9.2.8: Mining Rigs for Problems in the Subset Sum Family
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