curatinator_latest.md

RSS POSTS:

• Predictive scenarios simulation in R, Python and Excel using Techtonique API
• Paper: 'Right to be forgotten for mortgage insurance issued to cancer survivors: critical assessment and new proposal'
• Birth date temperature
• Whales movements
• Global discret grids
• Death penalty
• Training Lineup for 2025: January-June
• Embedding R/exams Exercises as Forms in R/Markdown or Quarto Documents
• Ordinal State Transition Models as a Unifying Risk Prediction Framework
• New qeML Plotting Function
• Regressions where the coefficients are a simplex. by @ellis2013nz
• DataCamp’s RADAR: Forward Edition
• Introduction to generalized linear models in R workshop
• DataCamp’s Free Access Week, Nov 4–10
• S7 0.2.0
• A template for creating card sorting games in R
• Comparison of spatial patterns in categorical raster data for arbitrary regions using R
• Comparison of spatial patterns in categorical raster data for overlapping regions using R
• Getting comfortable talking about tech
• Understanding Linux Processes and Essential Commands: A Beginner’s Guide
• Testing Data with If and Else If in C
• How to Use Dollar Sign ($) Operator in R: A Comprehensive Guide for Beginners
• The Complete Guide to Using setdiff() in R: Examples and Best Practices
• How to Use NOT IN Operator in R: A Complete Guide with Examples
• 3MW (Use Secrets With GitHub Actions and Schedueling)
• New release of mapsf
• R t-SNE: How to Visualize High-Dimensional Datasets in R
• R sqldf: 7 Examples of How to Navigate R Data Frames with SQL
• R 3D Charts: Top 3 Packages to Master 3D Data Visualization in R
• R Principal Component Analysis: Apply and Understand R PCA in Minutes
• Want To Get Even Faster Feedback From Your Unit Tests? Optimize Your Test Files Structure.

CRANberries UPDATED:

• {semptools} 0.3.1: Customizing Structural Equation Modelling Plots - diffify
• {TestAnaAPP} 1.1.2: A 'shiny' App for Test Analysis and Visualization - diffify
• {r2r} 0.1.2: R-Object to R-Object Hash Maps - diffify
• {PvSTATEM} 0.1.2: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data - diffify
• {metasnf} 1.1.2: Meta Clustering with Similarity Network Fusion - diffify
• {icmstate} 0.1.1: Interval Censored Multi-State Models - diffify
• {connectapi} 0.4.0: Utilities for Interacting with the 'Posit Connect' Server API - diffify
• {bigD} 0.3.0: Flexibly Format Dates and Times to a Given Locale - diffify
• {graphicalMCP} 0.2.6: Graphical Multiple Comparison Procedures - diffify
• {svydiags} 0.7: Regression Model Diagnostics for Survey Data - diffify
• {mlmc} 2.1.0: Multi-Level Monte Carlo - diffify
• {aebdata} 0.1.2: Access Data from the Atlas do Estado Brasileiro - diffify
• {ravetools} 0.1.9: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data - diffify
• {filearray} 0.1.9: File-Backed Array for Out-of-Memory Computation - diffify
• {biogrowth} 1.0.5: Modelling of Population Growth - diffify
• {TestGenerator} 0.3.3: Integration Unit Tests for Pharmacoepidemiological Studies - diffify
• {ALFAM2} 4.2: Dynamic Model of Ammonia Emission from Field-Applied Manure - diffify
• {mlr3tuning} 1.2.0: Hyperparameter Optimization for 'mlr3' - diffify
• {collinear} 2.0.0: Automated Multicollinearity Management - diffify
• {finnsurveytext} 2.1.0: Analyse Open-Ended Survey Responses in Finnish - diffify
• {CITMIC} 0.1.2: Estimation of Cell Infiltration Based on Cell Crosstalk - diffify
• {model4you} 0.9-8: Stratified and Personalised Models Based on Model-Based Trees and Forests - diffify
• {mlr3filters} 0.8.1: Filter Based Feature Selection for 'mlr3' - diffify
• {minty} 0.0.4: Minimal Type Guesser - diffify
• {flowchart} 0.6.0: Tidy Flowchart Generator - diffify
• {archive} 1.1.10: Multi-Format Archive and Compression Support - diffify
• {admix} 2.3.3: Package Admix for Admixture (aka Contamination) Models - diffify
• {movieROC} 0.1.2: Visualizing the Decision Rules Underlying Binary Classification - diffify
• {lpSolve} 5.6.22: Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs - diffify
• {knitr} 1.49: A General-Purpose Package for Dynamic Report Generation in R - diffify
• {dimensio} 0.10.0: Multivariate Data Analysis - diffify
• {DescTools} 0.99.58: Tools for Descriptive Statistics - diffify
• {descriptr} 0.6.0: Generate Descriptive Statistics - diffify
• {CTxCC} 0.2.0: Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart - diffify
• {BiplotGUI} 0.0-12: Interactive Biplots in R - diffify
• {bayesTFR} 7.4-4: Bayesian Fertility Projection - diffify
• {ranger} 0.17.0: A Fast Implementation of Random Forests - diffify
• {rTwig} 1.2.0: Realistic Quantitative Structure Models - diffify
• {RobinCar} 0.3.2: Robust Inference for Covariate Adjustment in Randomized Clinical Trials - diffify
• {mlr3data} 0.9.0: Collection of Machine Learning Data Sets for 'mlr3' - diffify
• {fromo} 0.2.3: Fast Robust Moments - diffify
• {CRMetrics} 0.3.2: Cell Ranger Output Filtering and Metrics Visualization - diffify
• {Amelia} 1.8.3: A Program for Missing Data - diffify
• {SAMtool} 1.8.0: Stock Assessment Methods Toolkit - diffify
• {vglmer} 1.0.6: Variational Inference for Hierarchical Generalized Linear Models - diffify
• {gKRLS} 1.0.4: Generalized Kernel Regularized Least Squares - diffify
• {bbotk} 1.3.0: Black-Box Optimization Toolkit - diffify
• {msm} 1.8.2: Multi-State Markov and Hidden Markov Models in Continuous Time - diffify
• {mlr3viz} 0.10.0: Visualizations for 'mlr3' - diffify
• {mlr3fselect} 1.2.1: Feature Selection for 'mlr3' - diffify
• {charcuterie} 0.0.6: Handle Strings as Vectors of Characters - diffify
• {waldo} 0.6.1: Find Differences Between R Objects - diffify
• {stars} 0.6-7: Spatiotemporal Arrays, Raster and Vector Data Cubes - diffify
• {smcfcs} 1.9.0: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification - diffify
• {parallelly} 1.39.0: Enhancing the 'parallel' Package - diffify
• {arkhe} 1.8.0: Tools for Cleaning Rectangular Data - diffify
• {yulab.utils} 0.1.8: Supporting Functions for Packages Maintained by 'YuLab-SMU' - diffify
• {Q2q} 0.1.1: Interpolating Age-Specific Mortality Rates at All Ages - diffify
• {mda} 0.5-5: Mixture and Flexible Discriminant Analysis - diffify
• {GGIR} 3.1-5: Raw Accelerometer Data Analysis - diffify
• {fr} 0.5.2: Frictionless Standards - diffify
• {CVXR} 1.0-15: Disciplined Convex Optimization - diffify
• {validmind} 0.1.2: Interface to the 'ValidMind' Platform - diffify
• {riverdist} 0.17.1: River Network Distance Computation and Applications - diffify
• {jagshelper} 0.4.1: Extracting and Visualizing Output from 'jagsUI' - diffify
• {CCMMR} 0.2.1: Minimization of the Convex Clustering Loss Function - diffify
• {Rnest} 0.0.0.2: Next Eigenvalue Sufficiency Test - diffify
• {plotthis} 0.3.6: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages - diffify
• {digiRhythm} 2.3: Analyzing Animal's Rhythmicity - diffify
• {MetaNLP} 0.1.3: Natural Language Processing for Meta Analysis - diffify
• {S7} 0.2.0: An Object Oriented System Meant to Become a Successor to S3 and S4 - diffify
• {ergm.ego} 1.1.1: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data - diffify
• {cryptoQuotes} 1.3.2: Open Access to Cryptocurrency Market Data, Sentiment Indicators and Interactive Charts - diffify
• {vistributions} 0.2.0: Visualize Probability Distributions - diffify
• {tidyllm} 0.2.0: Tidy Integration of Large Language Models - diffify
• {siren} 1.0.5: Hybrid FA-CFA for Controlling Acquiescence in Restricted Factorial Solutions - diffify
• {RJSDMX} 3.5-0: R Interface to SDMX Web Services - diffify
• {graphicalEvidence} 1.1: Graphical Evidence - diffify
• {SPARRAfairness} 0.0.0.2: Analysis of Differential Behaviour of SPARRA Score Across Demographic Groups - diffify
• {hgwrr} 0.6-0: Hierarchical and Geographically Weighted Regression - diffify
• {zipangu} 0.3.3: Japanese Utility Functions and Data - diffify
• {gdverse} 1.2: Analysis of Spatial Stratified Heterogeneity - diffify
• {ProbBreed} 1.0.4.3: Probability Theory for Selecting Candidates in Plant Breeding - diffify
• {spmodel} 0.9.0: Spatial Statistical Modeling and Prediction - diffify
• {litedown} 0.4: A Lightweight Version of R Markdown - diffify
• {Xplortext} 1.5.4: Statistical Analysis of Textual Data - diffify
• {pcvr} 1.1.1.0: Plant Phenotyping and Bayesian Statistics - diffify
• {libr} 1.3.7: Libraries, Data Dictionaries, and a Data Step for R - diffify
• {REDCapExporter} 0.3.1: Automated Construction of R Data Packages from REDCap Projects - diffify
• {envi} 1.0.0: Environmental Interpolation using Spatial Kernel Density Estimation - diffify
• {WeibullR.plotly} 0.3: Interactive Weibull Probability Plots - diffify
• {sts} 1.1: Estimation of the Structural Topic and Sentiment-Discourse Model for Text Analysis - diffify
• {rush} 0.1.2: Rapid Parallel and Distributed Computing - diffify
• {priorCON} 0.1.2: Graph Community Detection Methods into Systematic Conservation Planning - diffify
• {prior3D} 0.1.2: 3D Prioritization Algorithm - diffify
• {lfe} 3.1.0: Linear Group Fixed Effects - diffify
• {Rpolyhedra} 0.5.6: Polyhedra Database - diffify
• {migraph} 1.4.3: Univariate and Multivariate Tests for Multimodal and Other Networks - diffify
• {cansim} 0.3.17: Accessing Statistics Canada Data Table and Vectors - diffify
• {ergm} 4.7.5: Fit, Simulate and Diagnose Exponential-Family Models for Networks - diffify
• {multiplex} 3.8-3: Algebraic Tools for the Analysis of Multiple Social Networks - diffify
• {staccuracy} 0.2.0: Standardized Accuracy and Other Model Performance Metrics - diffify
• {pbcc} 0.0.7: Percentile-Based Control Chart - diffify
• {olsrr} 0.6.1: Tools for Building OLS Regression Models - diffify
• {rasterdiv} 0.3.6: Diversity Indices for Numerical Matrices - diffify
• {pliman} 3.0.0: Tools for Plant Image Analysis - diffify
• {fmesher} 0.2.0: Triangle Meshes and Related Geometry Tools - diffify
• {salesforcer} 1.0.2: An Implementation of 'Salesforce' APIs Using Tidy Principles - diffify
• {minired} 1.0.1: R Interface to 'Redatam' Library - diffify
• {babelmixr2} 0.1.5: Use 'nlmixr2' to Interact with Open Source and Commercial Software - diffify
• {aRtsy} 1.0.0: Generative Art with 'ggplot2' - diffify
• {allofus} 1.2.0: Interface for 'All of Us' Researcher Workbench - diffify
• {quickcode} 1.0.2: Quick and Essential 'R' Tricks for Better Scripts - diffify
• {ymd} 0.1.3: Parse 'YMD' Format Number or String to Date - diffify
• {sfsmisc} 1.1-20: Utilities from 'Seminar fuer Statistik' ETH Zurich - diffify
• {CausalQueries} 1.2.1: Make, Update, and Query Binary Causal Models - diffify
• {LMest} 3.2.3: Generalized Latent Markov Models - diffify
• {c212} 1.0.1: Methods for Detecting Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes) - diffify
• {manynet} 1.3.2: Many Ways to Make, Modify, Map, Mark, and Measure Myriad Networks - diffify
• {vsp} 0.1.2: Vintage Sparse PCA for Semi-Parametric Factor Analysis - diffify
• {fmeffects} 0.1.4: Model-Agnostic Interpretations with Forward Marginal Effects - diffify
• {rbcc} 0.1.3: Risk-Based Control Charts - diffify
• {RaceID} 0.3.8: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data - diffify
• {sf} 1.0-19: Simple Features for R - diffify
• {MVar.pt} 2.2.3: Analise multivariada (brazilian portuguese) - diffify
• {MVar} 2.2.3: Multivariate Analysis - diffify
• {surveillance} 1.24.1: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena - diffify
• {mtdesign} 0.1.2: Mander and Thompson Designs - diffify
• {readODS} 2.3.1: Read and Write ODS Files - diffify
• {diceplot} 0.1.3: High Dimensional Categorical Data Visualization - diffify
• {curl} 6.0.0: A Modern and Flexible Web Client for R - diffify
• {resampledata} 0.3.2: Data Sets for Mathematical Statistics with Resampling in R - diffify
• {rbin} 0.2.1: Tools for Binning Data - diffify
• {coro} 1.1.0: 'Coroutines' for R - diffify
• {WeightIt} 1.3.2: Weighting for Covariate Balance in Observational Studies - diffify
• {SlaPMEG} 1.0.2: Pathway Testing for Longitudinal Omics - diffify
• {finbif} 0.9.9: Interface for the 'Finnish Biodiversity Information Facility' API - diffify
• {fastcpd} 0.14.6: Fast Change Point Detection via Sequential Gradient Descent - diffify
• {CollocInfer} 1.0.5: Collocation Inference for Dynamic Systems - diffify
• {cmhc} 0.2.9: Access, Retrieve, and Work with CMHC Data - diffify
• {animint2} 2024.11.2: Animated Interactive Grammar of Graphics - diffify
• {mgee2} 0.6: Marginal Analysis of Misclassified Longitudinal Ordinal Data - diffify
• {XNomial} 1.0.4.1: Exact Goodness-of-Fit Test for Multinomial Data with Fixed Probabilities - diffify
• {TrialSize} 1.4.1: R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size Calculation in Clinical Research - diffify
• {mRMRe} 2.1.2.2: Parallelized Minimum Redundancy, Maximum Relevance (mRMR) - diffify
• {KODAMA} 2.4.1: Knowledge Discovery by Accuracy Maximization - diffify
• {ergm.multi} 0.2.1.1: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks - diffify
• {spatstat.univar} 3.1-1: One-Dimensional Probability Distribution Support for the 'spatstat' Family - diffify
• {glmertree} 0.2-6: Generalized Linear Mixed Model Trees - diffify
• {soilDB} 2.8.5: Soil Database Interface - diffify
• {isotracer} 1.1.7: Isotopic Tracer Analysis Using MCMC - diffify
• {fable} 0.4.1: Forecasting Models for Tidy Time Series - diffify
• {csvread} 1.2.3: Fast Specialized CSV File Loader - diffify
• {WeightedTreemaps} 0.1.3: Generate and Plot Voronoi or Sunburst Treemaps from Hierarchical Data - diffify
• {OpenSpecy} 1.4.0: Analyze, Process, Identify, and Share Raman and (FT)IR Spectra - diffify
• {CORElearn} 1.57.3.1: Classification, Regression and Feature Evaluation - diffify
• {AdverseEvents} 0.0.3: 'shiny' Application for Adverse Event Analysis of 'OnCore' Data - diffify
• {rBeta2009} 1.0.1: The Beta Random Number and Dirichlet Random Vector Generating Functions - diffify
• {StepReg} 1.5.5: Stepwise Regression Analysis - diffify
• {redatam} 2.0.2: Import 'REDATAM' Files - diffify
• {Keng} 2024.11.02: Knock Errors Off Nice Guesses - diffify
• {salad} 1.1: Simple Automatic Differentiation - diffify
• {mvtnorm} 1.3-2: Multivariate Normal and t Distributions - diffify
• {wbs} 1.4.1: Wild Binary Segmentation for Multiple Change-Point Detection - diffify
• {simctest} 2.6.1: Safe Implementation of Monte Carlo Tests - diffify
• {RRF} 1.9.4.1: Regularized Random Forest - diffify
• {poilog} 0.4.2.1: Poisson Lognormal and Bivariate Poisson Lognormal Distribution - diffify
• {gremlin} 1.1.0: Mixed-Effects REML Incorporating Generalized Inverses - diffify
• {flare} 1.7.0.2: Family of Lasso Regression - diffify
• {barrks} 1.0.1: Calculate Bark Beetle Phenology Using Different Models - diffify
• {ahaz} 1.15.1: Regularization for Semiparametric Additive Hazards Regression - diffify
• {WeibullR.learnr} 0.2: An Interactive Introduction to Life Data Analysis - diffify
• {waveband} 4.7.4: Computes Credible Intervals for Bayesian Wavelet Shrinkage - diffify
• {bayesRecon} 0.3.2: Probabilistic Reconciliation via Conditioning - diffify
• {NSM3} 1.19: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition - diffify
• {hydroTSM} 0.7-0.1: Time Series Management and Analysis for Hydrological Modelling - diffify
• {hydroGOF} 0.6-0.1: Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series - diffify
• {httr2} 1.0.6: Perform HTTP Requests and Process the Responses - diffify
• {pmlbr} 0.2.2: Interface to the Penn Machine Learning Benchmarks Data Repository - diffify
• {rmarkdown} 2.29: Dynamic Documents for R - diffify
• {CompExpDes} 1.0.5: Computer Experiment Designs - diffify
• {cNORM} 3.4.0: Continuous Norming - diffify
• {gdtools} 0.4.1: Utilities for Graphical Rendering and Fonts Management - diffify
• {APIS} 2.0.8: Auto-Adaptive Parentage Inference Software Tolerant to Missing Parents - diffify
• {secr} 5.1.0: Spatially Explicit Capture-Recapture - diffify
• {fastdid} 1.0.3: Fast Staggered Difference-in-Difference Estimators - diffify
• {EIEntropy} 0.0.1.3: Ecological Inference Applying Entropy - diffify
• {dhis2r} 0.2.1: Client for the 'DHIS2' Web API - diffify
• {changepoint} 2.3: Methods for Changepoint Detection - diffify
• {BioPred} 1.0.2: An R Package for Biomarkers Analysis in Precision Medicine - diffify
• {BeeBDC} 1.2.1: Occurrence Data Cleaning - diffify
• {qmvs} 0.2.2: Queueing Model of Visual Search - diffify
• {hutilscpp} 0.10.6: Miscellaneous Functions in C++ - diffify
• {NMOF} 2.10-1: Numerical Methods and Optimization in Finance - diffify
• {crm12Comb} 0.1.8: Phase I/II CRM Based Drug Combination Design - diffify

CRANberries NEW:

• {SimRDS} 2.0.0: Simulation of Respondent Driven Samples
• {lofifonts} 0.1.3: Text Rendering with Bitmap and Vector Fonts
• {FGRepo} 1.3.2.0: Functional Genomics Repository for POST-GWAS Analysis
• {AIscreenR} 0.1.0: AI Screening Tools in R for Systematic Reviewing
• {tidyplots} 0.1.2: Tidy Plots for Scientific Papers
• {redcas} 0.1.1: An Interface to the Computer Algebra System 'REDUCE'
• {metasnf} 1.1.2: Meta Clustering with Similarity Network Fusion
• {ineAtlas} 0.1.2: Access to Spanish Household Income Distribution Atlas Data
• {ILSAmerge} 1.0.0: Merge and Download International Large-Scale Assessments (ILSA) Data
• {ife} 0.1.0: Influence Function Based Estimate Objects
• {epicmodel} 0.1.1: Causal Modeling in Epidemiology
• {DTSR} 0.1.0: Distributed Trimmed Scores Regression for Handling Missing Data
• {WMAP} 1.0.0: Weighted Meta-Analysis with Pseudo-Populations
• {threeBrain} 1.2.0: Your Advanced 3D Brain Visualization
• {shelter} 0.1.1: Support for Secure API Key Management
• {washr} 1.0.1: Publication Toolkit for Water, Sanitation and Hygiene (WASH)
• {visualpred} 0.1.1: Visualization 2D of Binary Classification Models
• {psidR} 2.3: Build Panel Data Sets from PSID Raw Data
• {afcharts} 0.4.0: Produce Charts Following UK Government Analysis Function Guidance
• {rbc} 0.1.0: Regression by Composition
• {PJFM} 0.1.0: Variational Inference for High-Dimensional Joint Frailty Model
• {ratlas} 0.1.0: ATLAS Formatting Functions and Templates
• {iucnr} 0.0.0.1: IUCN Red List Data
• {divent} 0.4-4: Entropy Partitioning to Measure Diversity
• {rtiktoken} 0.0.6: A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large Language Models
• {OasisR} 3.1.1: Outright Tool for the Analysis of Spatial Inequalities and Segregation
• {ntfy} 0.0.6: Lightweight Wrapper to the 'ntfy.sh' Service
• {heterocop} 0.1.0.0: Semi-Parametric Estimation with Gaussian Copula
• {gpcp} 0.1.0: Genomic Prediction of Cross Performance
• {exams2forms} 0.1-0: Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto' Documents
• {ABRSQOL} 1.0.0: Quality-of-Life Solver for "Measuring Quality of Life under Spatial Frictions"
• {aods3} 0.5: Analysis of Overdispersed Data using S3 Methods
• {RCPA} 0.2.5: Consensus Pathway Analysis
• {imuf} 0.3.0: Estimate Orientation of an Inertial Measurement Unit
• {card} 0.1.1: Cardiovascular Applications in Research Data
• {subsampling} 0.1.1: Optimal Subsampling Methods for Statistical Models
• {lubrilog} 1.1.0: Get Insights on 'lubridate' Operations
• {hdbcp} 0.1.0: Bayesian Change Point Detection for High-Dimensional Data
• {dverse} 0.0.1: Document a Universe of Packages
• {cocoon} 0.1.0: Extract, Format, and Print Statistical Output
• {minFactorial} 0.1.0: All Possible Minimally Changed Factorial Run Orders
• {tidywater} 0.6.2: Water Quality Models for Drinking Water Treatment Processes
• {speedyBBT} 1.0: Efficient Bayesian Inference for the Bradley--Terry Model Packages
• {mergedblocks} 1.1.1: Merged Block Randomization
• {ggsem} 0.1.0: Interactively Visualize Structural Equation Modeling Diagrams
• {sicure} 0.1.0: Single-Index Mixture Cure Models
• {pk.unit.trans} 0.1.0: Achieve Numerical Conversion Between Units Commonly Used in Pharmacokinetics
• {ip2whois} 1.0.0: Lookup 'WHOIS' Information for a Particular Domain
• {ETRep} 0.1.0: Analysis of Elliptical Tubes Under the Relative Curvature Condition
• {dpkg} 0.6.0: Create, Stow, and Read Data Packages
• {NPFD} 1.0.0: N-Power Fourier Deconvolution
• {rnnmf} 0.3.0: Regularized Non-Negative Matrix Factorization
• {mcmapper} 0.0.11: Mapping First Moment and C-Statistic to the Parameters of Distributions for Risk
• {spconf} 1.0.1: Computing Scales of Spatial Smoothing for Confounding Adjustment
• {PODES} 0.1.0: Village Potential Statistics of Indonesia
• {handwriterRF} 1.0.2: Handwriting Analysis with Random Forests
• {ConfMatrix} 0.1.0: Confusion Matrix