RSS POSTS: ##

RSS POSTS:

• learningmachine for Python (new version)
• How to Make a Volcano Plot in R using ggplot2
• Extracting names of functions defined in a script with treesitter
• Extracting all links from my slidedeck
• dtts 0.1.3 on CRAN: More Maintenance
• Rcpp 1.0.13 on CRAN: Some Updates
• Some thoughts after a trial run of GitHub’s Copilot Workspace
• Simplify Regression Modeling with tidyAML’s fast_regression()
• VBA: Saving and Closing a Workbook
• How to Extract Substring Starting from the End of a String in R
• tidyAML: Automated Machine Learning with tidymodels
• 3MW (Using Helper Functions With Golem)
• Converting New York’s Forest Carbon Assessment to Tidymodels
• Augmenting RNA-Ligand Binding Prediction with Machine Learning: A Leap Towards Enhanced Drug Discovery
• {shiny.telemetry} 0.3.0: Track User Behavior in Your Shiny Applications

  CRANberries UPDATED:

• {quarto} 1.4.4: R Interface to ‘Quarto’ Markdown Publishing System - diffify
• {LadderFuelsR} 0.0.6: Automated Tool for Vertical Fuel Continuity Analysis using Airborne Laser Scanning Data - diffify
• {MethEvolSIM} 0.1.3: Simulate DNA Methylation Dynamics on Different Genomic Structures along Genealogies - diffify
• {labelr} 0.1.7: Label Data Frames, Variables, and Values - diffify
• {shinyloadtest} 1.2.0: Load Test Shiny Applications - diffify
• {SchoolDataIT} 0.2.0: Retrieve, Harmonise and Map Open Data Regarding the Italian School System - diffify
• {csquares} 0.0.6: Concise Spatial Query and Representation System (c-Squares) - diffify
• {shinylive} 0.2.0: Run ‘shiny’ Applications in the Browser - diffify
• {geocausal} 0.3.2: Causal Inference with Spatio-Temporal Data - diffify
• {libr} 1.3.4: Libraries, Data Dictionaries, and a Data Step for R - diffify
• {crul} 1.5.0: HTTP Client - diffify
• {ggnewscale} 0.5.0: Multiple Fill and Colour Scales in ‘ggplot2’ - diffify
• {exiftoolr} 0.2.6: ExifTool Functionality from R - diffify
• {chisquare} 1.0: Chi-Square and G-Square Test of Independence, Power and Residual Analysis, Measures of Categorical Association - diffify
• {hicp} 0.6.0: Harmonised Index of Consumer Prices - diffify
• {gRim} 0.3.3: Graphical Interaction Models - diffify
• {GeDS} 0.2.3: Geometrically Designed Spline Regression - diffify
• {duckdb} 1.0.0-2: DBI Package for the DuckDB Database Management System - diffify
• {shide} 0.2.1: Date/Time Classes Based on Jalali Calendar - diffify
• {migraph} 1.4.1: Univariate and Multivariate Tests for Multimodal and Other Networks - diffify
• {LifemapR} 1.1.2: Data Visualisation on ‘Lifemap’ Tree - diffify
• {funcharts} 1.5.0: Functional Control Charts - diffify
• {rkriging} 1.0.1: Kriging Modeling - diffify
• {nominatimlite} 0.4.1: Interface with ‘Nominatim’ API Service - diffify
• {cotram} 0.5-1: Count Transformation Models - diffify
• {gert} 2.1.0: Simple Git Client for R - diffify
• {flexmsm} 0.1.2: A General Framework for Flexible Multi-State Survival Modelling - diffify
• {spatstat.local} 5.1-0: Extension to ‘spatstat’ for Local Composite Likelihood - diffify
• {spatstat.Knet} 3.1-0: Extension to ‘spatstat’ for Large Datasets on a Linear Network - diffify
• {spatstat.gui} 3.1-0: Interactive Graphics Functions for the ‘spatstat’ Package - diffify
• {rqti} 0.3.0: Create Tests According to QTI 2.1 Standard - diffify
• {longevity} 1.1.1: Statistical Methods for the Analysis of Excess Lifetimes - diffify
• {resmush} 0.2.0: Optimize and Compress Image Files with ‘reSmush.it’ - diffify
• {cNORM} 3.1.0: Continuous Norming - diffify
• {lpSolveAPI} 5.5.2.0-17.12: R Interface to ‘lp_solve’ Version 5.5.2.0 - diffify
• {wallace} 2.1.3: A Modular Platform for Reproducible Modeling of Species Niches and Distributions - diffify
• {o2plsda} 0.0.25: Multiomics Data Integration - diffify
• {mimsy} 0.6.5: Calculate MIMS Dissolved Gas Concentrations Without Getting a Headache - diffify
• {gamsel} 1.8-4: Fit Regularization Path for Generalized Additive Models - diffify
• {rstac} 1.0.1: Client Library for SpatioTemporal Asset Catalog - diffify
• {respirometry} 2.0.0: Tools for Conducting and Analyzing Respirometry Experiments - diffify
• {ROI.plugin.osqp} 1.0-2: ‘osqp’ Plugin for the ‘R’ Optimization Infrastructure - diffify
• {ntsDatasets} 0.2.0: Neutrosophic Data Sets - diffify
• {clock} 0.7.1: Date-Time Types and Tools - diffify
• {ctrdata} 1.19.1: Retrieve and Analyze Clinical Trials in Public Registers - diffify
• {warbleR} 1.1.31: Streamline Bioacoustic Analysis - diffify
• {tinytex} 0.52: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents - diffify
• {scellpam} 1.4.6.2: Applying Partitioning Around Medoids to Single Cell Data with High Number of Cells - diffify
• {mapscanner} 0.1.1: Print Maps, Draw on Them, Scan Them Back in - diffify
• {RSpectra} 0.16-2: Solvers for Large-Scale Eigenvalue and SVD Problems - diffify
• {Epi} 2.53: Statistical Analysis in Epidemiology - diffify
• {tidytable} 0.11.1: Tidy Interface to ‘data.table’ - diffify
• {syrup} 0.1.1: Measure Memory and CPU Usage for Parallel R Code - diffify
• {partykit} 1.2-21: A Toolkit for Recursive Partytioning - diffify
• {party} 1.3-16: A Laboratory for Recursive Partytioning - diffify
• {multichull} 3.0.0: A Generic Convex-Hull-Based Model Selection Method - diffify
• {multcomp} 1.4-26: Simultaneous Inference in General Parametric Models - diffify
• {fdasrvf} 2.3.1: Elastic Functional Data Analysis - diffify
• {Rdune} 1.1.0: ‘Creates Color Palettes Inspired by Dune’ - diffify
• {ipred} 0.9-15: Improved Predictors - diffify
• {cubble} 0.3.2: A Vector Spatio-Temporal Data Structure for Data Analysis - diffify
• {singleRcapture} 0.2.1.2: Single-Source Capture-Recapture Models - diffify
• {recurse} 1.4.0: Computes Revisitation Metrics for Trajectory Data - diffify
• {performance} 0.12.2: Assessment of Regression Models Performance - diffify
• {HiveR} 0.4.0: 2D and 3D Hive Plots for R - diffify
• {dtts} 0.1.3: ‘data.table’ Time-Series - diffify
• {CruzPlot} 1.4.9: Plot Shipboard DAS Data - diffify
• {jsmodule} 1.5.6: ‘RStudio’ Addins and ‘Shiny’ Modules for Medical Research - diffify
• {iimi} 1.1.0: Identifying Infection with Machine Intelligence - diffify
• {raters} 2.1.0: A Modification of Fleiss’ Kappa in Case of Nominal and Ordinal Variables - diffify
• {shadowtext} 0.1.4: Shadow Text Grob and Layer - diffify
• {malariaAtlas} 1.6.1: An R Interface to Open-Access Malaria Data, Hosted by the ‘Malaria Atlas Project’ - diffify
• {xfun} 0.46: Supporting Functions for Packages Maintained by ‘Yihui Xie’ - diffify
• {spmodel} 0.7.0: Spatial Statistical Modeling and Prediction - diffify
• {phreeqc} 3.8.0: R Interface to Geochemical Modeling Software - diffify
• {gam} 1.22-4: Generalized Additive Models - diffify
• {BioM2} 1.0.8: Biologically Explainable Machine Learning Framework - diffify
• {sparseR} 0.3.1: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials - diffify
• {statnetWeb} 0.5.8: A Shiny App for Network Modeling with ‘statnet’ - diffify
• {threshr} 1.0.6: Threshold Selection and Uncertainty for Extreme Value Analysis - diffify
• {see} 0.8.5: Model Visualisation Toolbox for ‘easystats’ and ‘ggplot2’ - diffify
• {bang} 1.0.4: Bayesian Analysis, No Gibbs - diffify
• {lite} 1.1.1: Likelihood-Based Inference for Time Series Extremes - diffify
• {rerddapXtracto} 1.2.1: Extracts Environmental Data from ‘ERDDAP™’ Web Services - diffify
• {SparseM} 1.84-2: Sparse Linear Algebra - diffify
• {revdbayes} 1.5.4: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis - diffify
• {ProbBreed} 1.0.4.0: Probability Theory for Selecting Candidates in Plant Breeding - diffify
• {cthist} 2.1.11: Clinical Trial Registry History - diffify
• {admtools} 0.3.0: Estimate and Manipulate Age-Depth Models - diffify
• {slam} 0.1-51: Sparse Lightweight Arrays and Matrices - diffify
• {sgof} 2.3.5: Multiple Hypothesis Testing - diffify
• {Rcpp} 1.0.13: Seamless R and C++ Integration - diffify
• {permutations} 1.1-5: The Symmetric Group: Permutations of a Finite Set - diffify
• {mmirestriktor} 0.3.1: Informative Hypothesis Testing Web Applications - diffify
• {manynet} 1.0.1: Many Ways to Make, Modify, Mark, and Map Myriad Networks - diffify
• {ipumsr} 0.8.1: An R Interface for Downloading, Reading, and Handling IPUMS Data - diffify
• {coda4microbiome} 0.2.4: Compositional Data Analysis for Microbiome Studies - diffify
• {ravetools} 0.1.7: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data - diffify
• {pagenum} 1.3: Put Page Numbers on Graphics - diffify
• {keras3} 1.1.0: R Interface to ‘Keras’ - diffify
• {filehashSQLite} 0.2-7: Simple Key-Value Database using SQLite - diffify
• {shiny.telemetry} 0.3.0: ‘Shiny’ App Usage Telemetry - diffify
• {s2} 1.1.7: Spherical Geometry Operators Using the S2 Geometry Library - diffify
• {treestats} 1.70.4: Phylogenetic Tree Statistics - diffify
• {SticsRFiles} 1.4.0: Read and Modify ‘STICS’ Input/Output Files - diffify
• {bliss} 1.1.1: Bayesian Functional Linear Regression with Sparse Step Functions - diffify
• {LDAcoop} 0.1.2: Analysis of Data from Limiting Dilution Assay (LDA) with or without Cellular Cooperation - diffify
• {sdm} 1.2-46: Species Distribution Modelling - diffify
• {MixSim} 1.1-8: Simulating Data to Study Performance of Clustering Algorithms - diffify
• {tfdatasets} 2.17.0: Interface to ‘TensorFlow’ Datasets - diffify
• {strawr} 0.0.92: Fast Implementation of Reading/Dump for .hic Files - diffify
• {rlas} 1.8.0: Read and Write ‘las’ and ‘laz’ Binary File Formats Used for Remote Sensing Data - diffify
• {qtl2fst} 0.28: Database Storage of Genotype Probabilities for QTL Mapping - diffify
• {pals} 1.9: Color Palettes, Colormaps, and Tools to Evaluate Them - diffify
• {lazytrade} 0.5.4: Learn Computer and Data Science using Algorithmic Trading - diffify
• {imf.data} 0.1.6: An Interface to IMF (International Monetary Fund) Data JSON API - diffify
• {filearray} 0.1.7: File-Backed Array for Out-of-Memory Computation - diffify
• {CvmortalityMult} 1.0.3: Cross-Validation for Multi-Population Mortality Models - diffify
• {Rlgt} 0.2-2: Bayesian Exponential Smoothing Models with Trend Modifications - diffify
• {officedown} 0.3.3: Enhanced ‘R Markdown’ Format for ‘Word’ and ‘PowerPoint’ - diffify
• {npboottprm} 0.3.1: Nonparametric Bootstrap Test with Pooled Resampling - diffify
• {earthtide} 0.1.5: Parallel Implementation of ‘ETERNA 3.40’ for Prediction and Analysis of Earth Tides - diffify
• {DiscreteTests} 0.2.0: Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests - diffify
• {digiRhythm} 2.0: Analyzing Animal’s Rhythmicity - diffify
• {DIDmultiplegt} 2.0.0: Estimators DID with Multiple Groups and Periods - diffify
• {gpboost} 1.5.1.1: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models - diffify
• {priorsense} 1.0.2: Prior Diagnostics and Sensitivity Analysis - diffify
• {wxgenR} 1.4.1: A Stochastic Weather Generator with Seasonality - diffify
• {stars} 0.6-6: Spatiotemporal Arrays, Raster and Vector Data Cubes - diffify
• {robfilter} 4.1.5: Robust Time Series Filters - diffify
• {httr2} 1.0.2: Perform HTTP Requests and Process the Responses - diffify
• {dosearch} 1.0.11: Causal Effect Identification from Multiple Incomplete Data Sources - diffify
• {diemr} 1.4: Diagnostic Index Expectation Maximisation in R - diffify
• {FRK} 2.3.1: Fixed Rank Kriging - diffify
• {CSHShydRology} 1.4.2: Canadian Hydrological Analyses - diffify
• {CpGassoc} 2.70: Association Between Methylation and a Phenotype of Interest - diffify
• {CDMConnector} 1.5.0: Connect to an OMOP Common Data Model - diffify
• {iC10TrainingData} 2.0.1: Training Datasets for iC10 Package - diffify
• {comorbidity} 1.1.0: Computing Comorbidity Scores - diffify
• {gasfluxes} 0.6-4: Greenhouse Gas Flux Calculation from Chamber Measurements - diffify
• {PAICE} 1.0.2: Phylogeographic Analysis of Island Colonization Events - diffify
• {spatstat.random} 3.3-1: Random Generation Functionality for the ‘spatstat’ Family - diffify
• {spatstat.model} 3.3-1: Parametric Statistical Modelling and Inference for the ‘spatstat’ Family - diffify
• {spatstat.linnet} 3.2-1: Linear Networks Functionality of the ‘spatstat’ Family - diffify
• {spatstat.geom} 3.3-2: Geometrical Functionality of the ‘spatstat’ Family - diffify
• {spatstat.explore} 3.3-1: Exploratory Data Analysis for the ‘spatstat’ Family - diffify
• {spatstat} 3.1-1: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests - diffify
• {sampcompR} 0.2.1: Comparing and Visualizing Differences Between Surveys - diffify
• {lineup} 0.44: Lining Up Two Sets of Measurements - diffify
• {sox} 1.2: Structured Learning in Time-Dependent Cox Models - diffify
• {refseqR} 1.1.2: Common Computational Operations Working with RefSeq Entries (GenBank) - diffify
• {protti} 0.9.0: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools - diffify
• {parallelpam} 1.4.3: Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data - diffify
• {NMsim} 0.1.2: Seamless ‘Nonmem’ Simulation Platform - diffify
• {FeatureExtraction} 3.6.0: Generating Features for a Cohort - diffify
• {fdaPDE} 1.1-19: Physics-Informed Spatial and Functional Data Analysis - diffify
• {CovRegRF} 2.0.1: Covariance Regression with Random Forests - diffify
• {Rapp} 0.2.0: Easily Build Command Line Applications - diffify
• {EloRating} 0.46.18: Animal Dominance Hierarchies by Elo Rating - diffify
• {AHPtools} 0.3.0: Consistency in the Analytic Hierarchy Process - diffify
• {mdmb} 1.9-22: Model Based Treatment of Missing Data - diffify
• {RNAseqQC} 0.2.1: Quality Control for RNA-Seq Data - diffify
• {processmapR} 0.5.4: Construct Process Maps Using Event Data - diffify
• {diseasystore} 0.2.2: Feature Stores for the ‘diseasy’ Framework - diffify
• {LAM} 0.7-22: Some Latent Variable Models - diffify
• {box.linters} 0.10.0: Linters for ‘box’ Modules - diffify
• {ivgets} 0.1.2: General to Specific Modeling and Indicator Saturation in 2SLS Models - diffify
• {StanHeaders} 2.32.10: C++ Header Files for Stan - diffify
• {datawizard} 0.12.1: Easy Data Wrangling and Statistical Transformations - diffify
• {SGPdata} 28.0-0.0: Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses - diffify
• {SetTest} 0.3.0: Group Testing Procedures for Signal Detection and Goodness-of-Fit - diffify
• {tor} 1.1.3: Import Multiple Files From a Single Directory at Once - diffify
• {tidystats} 0.6.2: Save Output of Statistical Tests - diffify
• {SIMPLE.REGRESSION} 0.1.9: OLS, Moderated, Logistic, and Count Regressions Made Simple - diffify
• {nls2} 0.3-4: Non-Linear Regression with Brute Force - diffify
• {cubature} 2.1.1: Adaptive Multivariate Integration over Hypercubes - diffify
• {CICA} 1.1.1: Clusterwise Independent Component Analysis - diffify
• {bsvars} 3.1: Bayesian Estimation of Structural Vector Autoregressive Models - diffify
• {magick} 2.8.4: Advanced Graphics and Image-Processing in R - diffify
• {gets} 0.38: General-to-Specific (GETS) Modelling and Indicator Saturation Methods - diffify
• {QuickJSR} 1.3.1: Interface for the ‘QuickJS’ Lightweight ‘JavaScript’ Engine - diffify
• {ppendemic} 0.1.8: A Glimpse at the Diversity of Peru’s Endemic Plants - diffify
• {mirt} 1.42: Multidimensional Item Response Theory - diffify

  CRANberries NEW:

• {WASP} 1.4.4: Wavelet System Prediction
• {fdaconcur} 0.1.3: Concurrent Regression and History Index Models for Functional Data
• {modeltime.ensemble} 1.0.4: Ensemble Algorithms for Time Series Forecasting with Modeltime
• {iC10} 2.0.2: A Copy Number and Expression-Based Classifier for Breast Tumours
• {tidydelta} 0.1.0: Estimation of Standard Errors using Delta Method
• {piecenorms} 1.0.0: Calculate a Piecewise Normalised Score Using Class Intervals
• {LMPdata} 0.1.0: Easy Import of the EU Labour Market Policy Data
• {EWOC.Comb} 1.0: Escalation with Overdose Control using 2 Drug Combinations
• {cooltools} 2.4: Practical Tools for Scientific Computations and Visualizations
• {adass} 1.0.1: Adaptive Smoothing Spline (AdaSS) Estimator for the Function-on-Function Linear Regression
• {rplanes} 0.1.0: Plausibility Analysis of Epidemiological Signals
• {kmeRs} 2.1.0: K-Mers Similarity Score Matrix and HeatMap
• {charlesschwabapi} 1.0.2: Wrapper Functions Around ‘Charles Schwab Individual Trader API’
• {r311} 0.3.7: Interface to the ‘open311’ Standard
• {clrng} 0.0.5: Parallel Random Number Generation on GPU
• {xrnet} 1.0.0: Hierarchical Regularized Regression
• {databraryr} 0.6.6: Interact with the ‘Databrary.org’ API
• {holi} 0.1.0: Higher Order Likelihood Inference Web Applications
• {zippeR} 0.1.0: Working with United States ZIP Code and ZIP Code Tabulation Area
• {modisfast} 0.9.1: Fast and Efficient Access to MODIS Earth Observation Data
• {mig} 1.0: Multivariate Inverse Gaussian Distribution
• {EEML} 0.1.0: Ensemble Explainable Machine Learning Models
• {ChangePointTaylor} 0.3: Identify Changes in Mean
• {BATSS} 0.7.14: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models
• {iPRISM} 0.1.1: Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling
• {HonestDiD} 0.2.6: Robust Inference in Difference-in-Differences and Event Study Designs
• {hedgedrf} 0.0.1: An Implementation of the Hedged Random Forest Algorithm
• {closeloop} 0.1.0: Integrate Single-Arm Observational Data in Network Meta Analysis