RSS POSTS: ##
Quasi-randomized nnetworks in Julia, Python and R Introduction to data manipulation in R with {dplyr} Little useless-useful R functions – How to make R-squared useless Spatial autocorrelation Black & white Tanaka North Cliff notes about the cli package Using Google Lighthouse for Web Pages Training Lineup for 2024: January-June Getting started with theme() Empirical Bayes for #TidyTuesday Doctor Who episodes Advent of Code 2022 R in Action: Madrid R Users Group on Trends and Insights Navigating R’s Evolution and Future Trends in Madrid’s Dynamic Industry deposits R Package Delivers a Common Workflow for R Users 2023 : A Year of Progress for PHUSE CAMIS Working Group. Igniting Innovation: Bilikisu Wunmi Olatunji’s Journey with Abuja’s Thriving R User Community R Validation Hub: Wrapping up 2023 and Welcoming 2024! data.table User Survey The “Secret Sauce” Used in Many qeML Functions RcppClassicExamples 0.1.3 on CRAN: Maintenance RcppSpdlog 0.0.15 on CRAN: Maintenance qlcal 0.0.9 on CRAN: Maintenance RcppQuantuccia 0.1.1 on CRAN: Maintenance RcppSimdJson 0.1.11 on CRAN: Maintenance RcppCNPy 0.2.12 on CRAN: More Maintenance RQuantLib 0.4.20 on CRAN: More Maintenance Using ChatGPT for Exploratory Data Analysis with Python, R and prompting workshop scales 1.3.0 Time Series Analysis and Understanding a Eurobond Fund with Prophet Weekly Digest — 2023/12/01 Weekly Digest — 2023/11/24 Trapped in Beautiful Garden Using benchmarking to guide the adoption of dependencies in R packages Octopus 0.4.1: What’s new? Finding the most unique land cover spatial pattern tidyAML: Now supporting gee models Navigating Quantile Regression with R: A Comprehensive Guide Understanding and Implementing Robust Regression in R Unveiling Power Regression: A Step-by-Step Guide in R Unveiling the Magic of LOESS Regression in R: A Step-by-Step Guide with mtcars 3MW (We’re on break this week but check this out!) 3MW (Using regular expressiont to clean data) Helping R find the right methods for unserialized complex objects.
CRANberries UPDATED:
{NetSimR} 0.1.4 : Actuarial Functions for Non-Life Insurance Modelling - diffify {geodimension} 1.0.1 : Definition of Geographic Dimensions - diffify {fstcore} 0.9.18 : R Bindings to the ‘Fstlib’ Library - diffify {ruminate} 0.2.0 : A Pharmacometrics Data Transformation and Analysis Tool - diffify {matsindf} 0.4.5 : Matrices in Data Frames - diffify {IPEC} 1.0.6 : Root Mean Square Curvature Calculation - diffify {cpfa} 1.1-0 : Classification with Parallel Factor Analysis - diffify {vars} 1.6-0 : VAR Modelling - diffify {isotree} 0.5.24-3 : Isolation-Based Outlier Detection - diffify {arrow} 14.0.0.2 : Integration to ‘Apache’ ‘Arrow’ - diffify {rlecuyer} 0.3-8 : R Interface to RNG with Multiple Streams - diffify {revdbayes} 1.5.3 : Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis - diffify {rbedrock} 0.3.2 : Analysis and Manipulation of Data from Minecraft Bedrock Edition - diffify {oce} 1.8-2 : Analysis of Oceanographic Data - diffify {ldbounds} 2.0.2 : Lan-DeMets Method for Group Sequential Boundaries - diffify {vctrs} 0.6.5 : Vector Helpers - diffify {ipaddress} 1.0.2 : Data Analysis for IP Addresses and Networks - diffify {stm} 1.3.7 : Estimation of the Structural Topic Model - diffify {RCLabels} 0.1.7 : Manipulate Matrix Row and Column Labels with Ease - diffify {PROJ} 0.4.5 : Generic Coordinate System Transformations Using ‘PROJ’ - diffify {matsbyname} 0.6.7 : An Implementation of Matrix Mathematics that Respects Row and
Column Names - diffify {iBreakDown} 2.1.2 : Model Agnostic Instance Level Variable Attributions - diffify {DPQ} 0.5-8 : Density, Probability, Quantile (‘DPQ’) Computations - diffify {cthist} 2.1.6 : Clinical Trial Registry History - diffify {cluster} 2.1.6 : “Finding Groups in Data”: Cluster Analysis Extended Rousseeuw et
al. - diffify {bookdown} 0.37 : Authoring Books and Technical Documents with R Markdown - diffify {lamW} 2.2.3 : Lambert-W Function - diffify {grattanInflators} 0.5.0 : Inflators for Australian Policy Analysis - diffify {AlphaSimR} 1.5.3 : Breeding Program Simulations - diffify {etwfe} 0.3.5 : Extended Two-Way Fixed Effects - diffify {tidylda} 0.0.4 : Latent Dirichlet Allocation Using ‘tidyverse’ Conventions - diffify {shinyInvoice} 0.0.2 : Shiny App - Generate a Pdf Invoice with ‘Rmarkdown’ - diffify {mdsOpt} 0.7-6 : Searching for Optimal MDS Procedure for Metric and
Interval-Valued Data - diffify {GPUmatrix} 1.0.1 : Basic Linear Algebra with GPU - diffify {pharmaversesdtm} 0.2.0 : Test Data for the Pharmaverse Family of Packages - diffify {wwntests} 1.1.0 : Hypothesis Tests for Functional Time Series - diffify {TITEgBOIN} 0.3.0 : Time-to-Event Dose-Finding Design for Multiple Toxicity Grades - diffify {GE} 0.4.1 : General Equilibrium Modeling - diffify {RTMB} 1.4 : ‘R’ Bindings for ‘TMB’ - diffify {rplum} 0.4.0 : Bayesian Age-Depth Modelling of Cores Dated by Pb-210 - diffify {ntsDists} 2.0.0 : Neutrosophic Distributions - diffify {pmparser} 1.0.18 : Create and Maintain a Relational Database of Data from
PubMed/MEDLINE - diffify {GlmSimulatoR} 1.0.0 : Creates Ideal Data for Generalized Linear Models - diffify {dformula} 1.0 : Data Manipulation using Formula - diffify {DescTools} 0.99.52 : Tools for Descriptive Statistics - diffify {dbx} 0.3.0 : A Fast, Easy-to-Use Database Interface - diffify {datetoiso} 0.2.0 : Modify Dates to ISO Standard (“International Organization for
Standardization”) - diffify {dartRverse} 0.51 : Install and Load the ‘dartRverse’ Suits of Packages - diffify {BayesFactor} 0.9.12-4.6 : Computation of Bayes Factors for Common Designs - diffify {practicalSigni} 0.1.2 : Practical Significance Ranking of Regressors and Exact t Density - diffify {leidenbase} 0.1.27 : R and C/C++ Wrappers to Run the Leiden find_partition() Function - diffify {finnts} 0.4.0 : Microsoft Finance Time Series Forecasting Framework - diffify {RScelestial} 1.0.4 : Scelestial: Steiner Tree Based Single-Cell Lineage Tree
Inference - diffify {fr} 0.5.1 : Frictionless Standards - diffify {dplR} 1.7.6 : Dendrochronology Program Library in R - diffify {tiledb} 0.22.0 : Modern Database Engine for Multi-Modal Data via Sparse and Dense
Multidimensional Arrays - diffify {rjags} 4-15 : Bayesian Graphical Models using MCMC - diffify {LambertW} 0.6.9-1 : Probabilistic Models to Analyze and Gaussianize Heavy-Tailed,
Skewed Data - diffify {CRTspat} 1.1.0 : Workflow for Cluster Randomised Trials with Spillover - diffify {vizdraws} 1.3 : Visualize Draws from the Prior and Posterior Distributions - diffify {resevol} 0.3.4.0 : Simulate Agricultural Production and Evolution of Pesticide
Resistance - diffify {mev} 1.16 : Modelling of Extreme Values - diffify {ggPMX} 1.2.11 : ‘ggplot2’ Based Tool to Facilitate Diagnostic Plots for NLME
Models - diffify {collinear} 1.1.0 : Seamless Multicollinearity Management - diffify {bipartite} 2.19 : Visualising Bipartite Networks and Calculating Some (Ecological)
Indices - diffify {BayesSUR} 2.1-5 : Bayesian Seemingly Unrelated Regression - diffify {poistweedie} 1.0.2 : Poisson-Tweedie Exponential Family Models - diffify {pbv} 0.5-47 : Probabilities for Bivariate Normal Distribution - diffify {hipread} 0.2.4 : Read Hierarchical Fixed Width Files - diffify {haven} 2.5.4 : Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Files - diffify {cookiemonster} 0.0.3 : Your Friendly Solution to Managing Browser Cookies - diffify {caracas} 2.1.1 : Computer Algebra - diffify {rtmpt} 1.0-1 : Fitting RT-MPT Models - diffify {redux} 1.1.4 : R Bindings to ‘hiredis’ - diffify {RcppClassicExamples} 0.1.3 : Examples using ‘RcppClassic’ to Interface R and C++ - diffify {Matrix} 1.6-4 : Sparse and Dense Matrix Classes and Methods - diffify {BeeBDC} 1.0.2 : Occurrence Data Cleaning - diffify {abn} 3.0.4 : Modelling Multivariate Data with Additive Bayesian Networks - diffify {CopulaGAMM} 0.4.1 : Copula-Based Mixed Regression Models - diffify {bootCT} 2.0.0 : Bootstrapping the ARDL Tests for Cointegration - diffify {tesselle} 1.4.0 : Easily Install and Load ‘tesselle’ Packages - diffify {Racmacs} 1.2.9 : Antigenic Cartography Macros - diffify {plume} 0.2.0 : A Simple Author Handler for Scientific Writing - diffify {fcaR} 1.2.2 : Formal Concept Analysis - diffify {SCDB} 0.2.1 : Easily Access and Maintain Time-Based Versioned Data
(Slowly-Changing-Dimension) - diffify {RCPA} 0.2.1 : Consensus Pathway Analysis - diffify {OpenCL} 0.2-9 : Interface allowing R to use OpenCL - diffify {naryn} 2.6.25 : Native Access Medical Record Retriever for High Yield Analytics - diffify {medfate} 3.2.0 : Mediterranean Forest Simulation - diffify {lefko3} 6.1.3 : Historical and Ahistorical Population Projection Matrix Analysis - diffify {intrinsicFRP} 2.0.0 : An R Package for Factor Model Asset Pricing - diffify {extraDistr} 1.10.0 : Additional Univariate and Multivariate Distributions - diffify {ARDECO} 0.1.1 : ‘ARDECO’ Dataset - diffify {RcppCWB} 0.6.3 : ‘Rcpp’ Bindings for the ‘Corpus Workbench’ (‘CWB’) - diffify {miniPCH} 0.3.1 : Survival Distributions with Piece-Wise Constant Hazards - diffify {excursions} 2.5.8 : Excursion Sets and Contour Credibility Regions for Random Fields - diffify {causalOT} 1.0.1 : Optimal Transport Weights for Causal Inference - diffify {APIS} 2.0.4 : Auto-Adaptive Parentage Inference Software Tolerant to Missing
Parents - diffify {smam} 0.7.1 : Statistical Modeling of Animal Movements - diffify {RSNNS} 0.4-17 : Neural Networks using the Stuttgart Neural Network Simulator
(SNNS) - diffify {geos} 0.2.4 : Open Source Geometry Engine (‘GEOS’) R API - diffify {LTRCforests} 0.7.0 : Ensemble Methods for Survival Data with Time-Varying Covariates - diffify {agop} 0.2.4 : Aggregation Operators and Preordered Sets - diffify {dmm} 2.1-9 : Dyadic Mixed Model for Pedigree Data - diffify {tdthap} 1.3 : TDT Tests for Extended Haplotypes - diffify {stringx} 0.2.6 : Replacements for Base String Functions Powered by ‘stringi’ - diffify {rcheology} 4.3.2.0 : Data on Base and Recommended Packages for Current and Previous
Versions of R - diffify {tikzDevice} 0.12.6 : R Graphics Output in LaTeX Format - diffify {negligible} 0.1.5 : A Collection of Functions for Negligible Effect/Equivalence
Testing - diffify {dqrng} 0.3.2 : Fast Pseudo Random Number Generators - diffify {coga} 1.2.1 : Convolution of Gamma Distributions - diffify {scclust} 0.2.4 : Size-Constrained Clustering - diffify {RevGadgets} 1.2.1 : Visualization and Post-Processing of ‘RevBayes’ Analyses - diffify {quickmatch} 0.2.2 : Quick Generalized Full Matching - diffify {RcppSpdlog} 0.0.15 : R and C++ Interfaces to ‘spdlog’ C++ Header Library for Logging - diffify {epinet} 2.1.11 : Epidemic/Network-Related Tools - diffify {htetree} 0.1.18 : Causal Inference with Tree-Based Machine Learning Algorithms - diffify {streambugs} 1.4 : Parametric Ordinary Differential Equations Model of Growth,
Death, and Respiration of Macroinvertebrate and Algae Taxa - diffify {RcppQuantuccia} 0.1.2 : R Bindings to the Calendaring Functionality of ‘QuantLib’ - diffify {quickblock} 0.2.1 : Quick Threshold Blocking - diffify {ProbBreed} 1.0.3.1 : Probability Theory for Selecting Candidates in Plant Breeding - diffify {mvMORPH} 1.1.8 : Multivariate Comparative Tools for Fitting Evolutionary Models
to Morphometric Data - diffify {gpboost} 1.2.7 : Combining Tree-Boosting with Gaussian Process and Mixed Effects
Models - diffify {cpr} 0.3.0 : Control Polygon Reduction - diffify {cinterpolate} 1.0.1 : Interpolation From C - diffify {updog} 2.1.5 : Flexible Genotyping for Polyploids - diffify {tidyAML} 0.0.3 : Automatic Machine Learning with ‘tidymodels’ - diffify {scoringutils} 1.2.2 : Utilities for Scoring and Assessing Predictions - diffify {qlcal} 0.0.9 : R Bindings to the Calendaring Functionality of ‘QuantLib’ - diffify {MNM} 1.0-4 : Multivariate Nonparametric Methods. An Approach Based on Spatial
Signs and Ranks - diffify {image.CannyEdges} 0.1.1 : Implementation of the Canny Edge Detector for Images - diffify {gRc} 0.4.6 : Inference in Graphical Gaussian Models with Edge and Vertex
Symmetries - diffify {gRbase} 2.0.1 : A Package for Graphical Modelling in R - diffify {convertid} 0.1.8 : Convert Gene IDs Between Each Other and Fetch Annotations from
Biomart - diffify {COMPoissonReg} 0.8.1 : Conway-Maxwell Poisson (COM-Poisson) Regression - diffify {cauphy} 1.0.2 : Trait Evolution on Phylogenies Using the Cauchy Process - diffify {thor} 1.1.5 : Interface to ‘LMDB’ - diffify {socialranking} 1.1.0 : Social Ranking Solutions for Power Relations on Coalitions - diffify {simcross} 0.6 : Simulate Experimental Crosses - diffify {remstats} 3.2.1 : Computes Statistics for Relational Event History Data - diffify {PoissonBinomial} 1.2.6 : Efficient Computation of Ordinary and Generalized Poisson
Binomial Distributions - diffify {meteoland} 2.2.1 : Landscape Meteorology Tools - diffify {gMCP} 0.8-16 : Graph Based Multiple Comparison Procedures - diffify {expm} 0.999-8 : Matrix Exponential, Log, ‘etc’ - diffify {XML} 3.99-0.16 : Tools for Parsing and Generating XML Within R and S-Plus - diffify {WienR} 0.3-15 : Derivatives of the First-Passage Time Density and Cumulative
Distribution Function, and Random Sampling from the (Truncated)
First-Passage Time Distribution - diffify {tgstat} 2.3.25 : Amos Tanay’s Group High Performance Statistical Utilities - diffify {tau} 0.0-25 : Text Analysis Utilities - diffify {simer} 0.9.0.4 : Data Simulation for Life Science and Breeding - diffify {Rogue} 2.1.6 : Identify Rogue Taxa in Sets of Phylogenetic Trees - diffify {ring} 1.0.5 : Circular / Ring Buffers - diffify {nuggets} 1.0.1 : Extensible Data Pattern Searching Framework - diffify {island} 0.2.10 : Stochastic Island Biogeography Theory Made Easy - diffify {openxlsx2} 1.2 : Read, Write and Edit ‘xlsx’ Files - diffify {AnthropMMD} 4.0.3 : An R Package for the Mean Measure of Divergence (MMD) - diffify {robustbase} 0.99-1 : Basic Robust Statistics - diffify {happign} 0.2.2 : R Interface to ‘IGN’ Web Services - diffify {seriation} 1.5.3 : Infrastructure for Ordering Objects Using Seriation - diffify {harmony} 1.2.0 : Fast, Sensitive, and Accurate Integration of Single Cell Data - diffify {gdalraster} 1.7.0 : Bindings to the ‘Geospatial Data Abstraction Library’ Raster API - diffify {arules} 1.7-7 : Mining Association Rules and Frequent Itemsets - diffify {simcdm} 0.1.2 : Simulate Cognitive Diagnostic Model (‘CDM’) Data - diffify {rrum} 0.2.1 : Bayesian Estimation of the Reduced Reparameterized Unified Model
with Gibbs Sampling - diffify {MSCMT} 1.3.9 : Multivariate Synthetic Control Method Using Time Series - diffify {mnorm} 1.2.2 : Multivariate Normal Distribution - diffify {vitae} 0.5.4 : Curriculum Vitae for R Markdown - diffify {trajr} 1.5.1 : Animal Trajectory Analysis - diffify {spatstat.random} 3.2-2 : Random Generation Functionality for the ‘spatstat’ Family - diffify {mlpack} 4.3.0 : ‘Rcpp’ Integration for the ‘mlpack’ Library - diffify {hpa} 1.3.3 : Distributions Hermite Polynomial Approximation - diffify {wk} 0.9.1 : Lightweight Well-Known Geometry Parsing - diffify {libgeos} 3.11.1-2 : Open Source Geometry Engine (‘GEOS’) C API - diffify {gam} 1.22-3 : Generalized Additive Models - diffify {r2redux} 1.0.17 : R2 Statistic - diffify {dynsurv} 0.4-6 : Dynamic Models for Survival Data - diffify {re2} 0.1.3 : R Interface to Google RE2 (C++) Regular Expression Library - diffify {ltsk} 1.1.1 : Local Time Space Kriging - diffify {rgl} 1.2.8 : 3D Visualization Using OpenGL - diffify {dauphin} 0.3.1 : Compact Standard for Australian Phone Numbers - diffify {chngpt} 2023.11-28 : Estimation and Hypothesis Testing for Threshold Regression - diffify {BAS} 1.6.6 : Bayesian Variable Selection and Model Averaging using Bayesian
Adaptive Sampling - diffify {icr} 0.6.4 : Compute Krippendorff’s Alpha - diffify {bslib} 0.6.1 : Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’ - diffify {TestGardener} 3.3.0 : Information Analysis for Test and Rating Scale Data - diffify {qtl2} 0.34 : Quantitative Trait Locus Mapping in Experimental Crosses - diffify {purgeR} 1.8.2 : Inbreeding-Purging Estimation in Pedigreed Populations - diffify {normfluodbf} 1.5.2 : Cleans and Normalizes FLUOstar DBF and DAT Files - diffify {EviewsR} 0.1.6 : A Seamless Integration of ‘EViews’ and R - diffify {datanugget} 1.2.4 : Create, and Refine Data Nuggets - diffify {distances} 0.1.10 : Tools for Distance Metrics - diffify {PeakSegDisk} 2023.11.27 : Disk-Based Constrained Change-Point Detection - diffify {jackalope} 1.1.5 : A Swift, Versatile Phylogenomic and High-Throughput Sequencing
Simulator - diffify {rllama} 0.4.3 : Access and Analyze Data from ‘DeFiLlama’ - diffify {ncdf4} 1.22 : Interface to Unidata netCDF (Version 4 or Earlier) Format Data
Files - diffify {eaf} 2.5 : Plots of the Empirical Attainment Function - diffify {slfm} 1.0.2 : Fitting a Bayesian Sparse Latent Factor Model in Gene Expression
Analysis - diffify {selenium} 0.1.3 : Low-Level Browser Automation Interface - diffify {cmfrec} 3.5.1-2 : Collective Matrix Factorization for Recommender Systems - diffify
CRANberries NEW:
{survobj} 1.0 : Objects to Simulate Survival Times{rmerec} 0.1.0 : MEREC - Method Based on the Removal Effects of Criteria{MCTrend} 1.0.1 : Monte Carlo Trend Analysis{enmpa} 0.1.5 : Ecological Niche Modeling using Presence-Absence Data{acro} 0.1.1 : A Tool for Automating the Statistical Disclosure Control of
Research Outputs{TaylorRussell} 1.2 : A Taylor-Russell Function for Multiple Predictors{calibmsm} 1.0.0 : Calibration Plots for the Transition Probabilities from
Multistate Models{ADTSA} 1.0 : Time Series Analysis{mgwrsar} 1.0.5 : GWR and MGWR with Spatial Autocorrelation{scGOclust} 0.2.0 : Measuring Cell Type Similarity with Gene Ontology in Single-Cell
RNA-Seq{kcmeans} 0.1.0 : Conditional Expectation Function Estimation with
K-Conditional-Means{iperform} 0.0.1 : Time Series Performance{flevr} 0.0.4 : Flexible, Ensemble-Based Variable Selection with Potentially
Missing Data{gatoRs} 1.0.1 : Geographic and Taxonomic Occurrence R-Based Scrubbing{historicalborrowlong} 0.0.8 : Longitudinal Bayesian Historical Borrowing Models{geofacet} 0.2.1 : ‘ggplot2’ Faceting Utilities for Geographical Data{HadIBDs} 1.0.0 : Incomplete Block Designs using Hadamard Matrix (HadIBDs){evapoRe} 1.0.0 : Evapotranspiration R Recipes{pexm} 1.1.3 : Loading a JAGS Module for the Piecewise Exponential Distribution{nexus} 0.1.0 : Sourcing Archaeological Materials by Chemical Composition{KINSIMU} 0.1.1 : Panel Evaluation in Forensic Kinship Analysis{bexy} 0.1.2 : Visualize and Parse the Output of ‘BeXY’{dsims} 1.0.4 : Distance Sampling Simulations{ivo.table} 0.1 : Pretty Contingency Tables and Frequency Tables{HDMAADMM} 0.0.1 : ADMM for High-Dimensional Mediation Models{countts} 0.1.0 : Thomson Sampling for Zero-Inflated Count Outcomes{admtools} 0.0.1 : Estimate and Manipulate Age-Depth Models{picClip} 0.1.0 : Paste Box Input for ‘Shiny’{phyloraster} 2.0.1 : Evolutionary Diversity Metrics for Raster Data{nuggets} 1.0.1 : Extensible Data Pattern Searching Framework{causalOT} 1.0.1 : Optimal Transport Weights for Causal Inference{BiostatsUHNplus} 0.0.8 : Nested Data Summary and Adverse Events{ARDECO} 0.1.1 : ‘ARDECO’ Dataset{aloom} 0.1.0 : All Leave-One-Out Models{rlibkriging} 0.8-0.1 : Kriging Models using the ‘libKriging’ Library{FDRsamplesize2} 0.1.0 : Computing Power and Sample Size for the False Discovery Rate in
Multiple Applications{spatialising} 0.6.0 : Ising Model for Spatial Data{rosmium} 0.1.0 : Bindings for ‘Osmium Tool’{rnndescent} 0.1.1 : Nearest Neighbor Descent Method for Approximate Nearest
Neighbors{MJMbamlss} 0.1.0 : Multivariate Joint Models with ‘bamlss’{dartR.captive} 0.75 : Analysing ‘SNP’ Data to Support Captive Breeding{cwbtools} 0.3.9 : Tools to Create, Modify and Manage ‘CWB’ Corpora{multipanelfigure} 2.1.5 : Infrastructure to Assemble Multi-Panel Figures (from Grobs){flippant} 1.5.4 : Dithionite Scramblase Assay Analysis{simEd} 2.0.1 : Simulation Education{accrual} 1.4 : Bayesian Accrual Prediction{frailtypack} 3.5.1 : Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints{froth} 1.0.0 : Emulate a ‘Forth’ Programming Environment{orbweaver} 0.0.3 : Fast and Efficient Graph Data Structures{curvir} 0.1.1 : Specify Reserve Demand Curves{treats} 1.0 : Trees and Traits Simulations{StormR} 0.1.1 : Analyzing the Behaviour of Wind Generated by Tropical Storms and
Cyclones{sqlcaser} 0.2.0 : ‘SQL’ Case Statement Generator{multipleDL} 1.0.0 : Addressing Detection Limits by Cumulative Probability Models
(CPMs){MCDA} 0.1.0 : Support for the Multicriteria Decision Aiding Process{shinyInvoice} 0.0.2 : Shiny App - Generate a Pdf Invoice with ‘Rmarkdown’{revert} 0.0.1 : Reversion Mutation Identifier for Sequencing Data{metaRange} 1.0.0 : Framework to Build Mechanistic and Metabolic Constrained Species
Distribution Models{scrapeR} 0.1.7 : These Functions Fetch and Extract Text Content from Specified
Web Pages{PubChemR} 0.99-1 : Interface to the ‘PubChem’ Database for Chemical Data Retrieval{clusterCrit} 1.3.0 : Clustering Indices{reactable.extras} 0.2.0 : Extra Features for ‘reactable’ Package{AssocBin} 0.1-0 : Measuring Association with Recursive Binning{RTSA} 0.2.2 : ‘Trial Sequential Analysis’ for Error Control and Inference in
Sequential Meta-Analyses{Racmacs} 1.2.9 : Antigenic Cartography Macros{letsR} 5.0 : Data Handling and Analysis in Macroecology{granovaGG} 1.4.1 : Graphical Analysis of Variance Using ggplot2{HyMETT} 1.1.2 : Hydrologic Model Evaluation and Time-Series Tools{gen3sis} 1.5.11 : General Engine for Eco-Evolutionary Simulations{PoolBal} 0.1-0 : Balancing Central and Marginal Rejection of Pooled p-Values{GrFA} 0.1.0 : Group Factor Analysis{StateLevelForest} 0.1.0 : Historical State-Level Forest Cover Data in the United States{rexpokit} 0.26.6.14 : R Wrappers for EXPOKIT; Other Matrix Functions{public.ctn0094extra} 1.0.4 : Helper Files for the CTN-0094 Relational Database{fr} 0.5.1 : Frictionless Standards{DiffNet} 1.0.2 : Identifying Significant Node Scores using Network Diffusion
Algorithm