curatinator_latest.md

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CRANberries UPDATED:

• {qs} 0.26.1: Quick Serialization of R Objects - diffify
• {PooledCohort} 0.0.2: Predicted Risk for CVD using Pooled Cohort Equations, PREVENT Equations, and Other Contemporary CVD Risk Calculators - diffify
• {lconnect} 0.1.2: Simple Tools to Compute Landscape Connectivity Metrics - diffify
• {fda} 6.1.8: Functional Data Analysis - diffify
• {wallace} 2.1.2: A Modular Platform for Reproducible Modeling of Species Niches and Distributions - diffify
• {aws.wrfsmn} 0.0.3: Data Processing of SMN Hi-Res Weather Forecast from 'AWS' - diffify
• {scipub} 1.2.3: Summarize Data for Scientific Publication - diffify
• {mizer} 2.5.1: Dynamic Multi-Species Size Spectrum Modelling - diffify
• {MazamaTimeSeries} 0.3.0: Core Functionality for Environmental Time Series - diffify
• {geomtextpath} 0.1.2: Curved Text in 'ggplot2' - diffify
• {tabxplor} 1.1.3: User-Friendly Tables with Color Helpers for Data Exploration - diffify
• {CodelistGenerator} 2.2.3: Identify Relevant Clinical Codes and Evaluate Their Use - diffify
• {bootstrapFP} 0.4.6: Bootstrap Algorithms for Finite Population Inference - diffify
• {rankinma} 0.2.1: Rank in Network Meta-Analysis - diffify
• {ggfacto} 0.3.0: Graphs for Correspondence Analysis - diffify
• {survey} 4.4-1: Analysis of Complex Survey Samples - diffify
• {metaumbrella} 1.0.11: Umbrella Review Package for R - diffify
• {SNSeg} 1.0.2: Self-Normalization(SN) Based Change-Point Estimation for Time Series - diffify
• {piar} 0.7.0: Price Index Aggregation - diffify
• {ibawds} 0.6.0: Functions and Datasets for the Data Science Course at IBAW - diffify
• {handwriter} 3.0.0: Handwriting Analysis in R - diffify
• {eha} 2.11.4: Event History Analysis - diffify
• {easylabel} 0.2.8: Interactive Scatter Plot and Volcano Plot Labels - diffify
• {deeptime} 1.1.1: Plotting Tools for Anyone Working in Deep Time - diffify
• {usmapdata} 0.2.2: Mapping Data for 'usmap' Package - diffify
• {TCIU} 1.2.5: Spacekime Analytics, Time Complexity and Inferential Uncertainty - diffify
• {lcra} 1.1.5: Bayesian Joint Latent Class and Regression Models - diffify
• {kdry} 0.0.2: K's "Don't Repeat Yourself"-Collection - diffify
• {CARBayes} 6.1.1: Spatial Generalised Linear Mixed Models for Areal Unit Data - diffify
• {mlsurvlrnrs} 0.0.3: R6-Based ML Survival Learners for 'mlexperiments' - diffify
• {IPDFileCheck} 0.8.1: Basic Functions to Check Readability, Consistency, and Content of an Individual Participant Data File - diffify
• {grates} 1.2.0: Grouped Date Classes - diffify
• {FastCUB} 0.0.3: Fast Estimation of CUB Models via Louis' Identity - diffify
• {callsync} 0.2.1: Recording Synchronisation, Call Detection and Assignment, Audio Analysis - diffify
• {ubiquity} 2.0.3: PKPD, PBPK, and Systems Pharmacology Modeling Tools - diffify
• {rts2} 0.7.2: Real-Time Disease Surveillance - diffify
• {MiscMetabar} 0.7.10: Miscellaneous Functions for Metabarcoding Analysis - diffify
• {fitODBODRshiny} 1.0.2: 'Shiny' Application for R Package 'fitODBOD' - diffify
• {EpiLPS} 1.3.0: A Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters - diffify
• {autostsm} 3.1.4: Automatic Structural Time Series Models - diffify
• {kimfilter} 1.0.3: Kim Filter - diffify
• {ggdag} 0.2.12: Analyze and Create Elegant Directed Acyclic Graphs - diffify
• {samplingin} 1.0.7: Dynamic Survey Sampling Solutions - diffify
• {multcompView} 0.1-10: Visualizations of Paired Comparisons - diffify
• {kalmanfilter} 2.1.1: Kalman Filter - diffify
• {copBasic} 2.2.4: General Bivariate Copula Theory and Many Utility Functions - diffify
• {globals} 0.16.3: Identify Global Objects in R Expressions - diffify
• {FAST.R} 0.2.1: Analyze and Visualize FAST-Generated Data - diffify
• {paleoDiv} 0.2.2: Extracting and Visualizing Paleobiodiversity - diffify
• {teal} 0.15.2: Exploratory Web Apps for Analyzing Clinical Trials Data - diffify
• {simDAG} 0.1.1: Simulate Data from a DAG and Associated Node Information - diffify
• {readtextgrid} 0.1.2: Read in a 'Praat' 'TextGrid' File - diffify
• {Holomics} 1.1.0: An User-Friendly R 'shiny' Application for Multi-Omics Data Integration and Analysis - diffify
• {fmeffects} 0.1.2: Model-Agnostic Interpretations with Forward Marginal Effects - diffify
• {VCA} 1.5.1: Variance Component Analysis - diffify
• {fastTS} 1.0.0: Fast Time Series Modeling for Seasonal Series with Exogenous Variables - diffify
• {platetools} 0.1.7: Tools and Plots for Multi-Well Plates - diffify
• {mllrnrs} 0.0.3: R6-Based ML Learners for 'mlexperiments' - diffify
• {libr} 1.3.1: Libraries, Data Dictionaries, and a Data Step for R - diffify
• {chouca} 0.1.99: A Stochastic Cellular Automaton Engine - diffify
• {jfa} 0.7.1: Statistical Methods for Auditing - diffify
• {ggraph} 2.2.1: An Implementation of Grammar of Graphics for Graphs and Networks - diffify
• {dotwhisker} 0.8.1: Dot-and-Whisker Plots of Regression Results - diffify
• {stinepack} 1.5: Stineman, a Consistently Well Behaved Method of Interpolation - diffify
• {migraph} 1.3.4: Many Network Measures, Motifs, Members, and Models - diffify
• {espadon} 1.6.0: Easy Study of Patient DICOM Data in Oncology - diffify
• {PublicWorksFinanceIT} 0.2.0: Soil Defense Investments in Italy: Data Retrieval, Analysis, Visualization - diffify
• {descriptio} 1.3: Descriptive Statistical Analysis - diffify
• {systemfonts} 1.0.6: System Native Font Finding - diffify
• {QBMS} 1.0.0: Query the Breeding Management System(s) - diffify
• {mlexperiments} 0.0.3: Machine Learning Experiments - diffify
• {GDAtools} 2.1: Geometric Data Analysis - diffify
• {frictionless} 1.0.3: Read and Write Frictionless Data Packages - diffify
• {jsmodule} 1.5.1: 'RStudio' Addins and 'Shiny' Modules for Medical Research - diffify
• {file2meco} 0.7.1: Transform Files to 'microtable' Object with 'microeco' Package - diffify
• {DeclareDesign} 1.0.8: Declare and Diagnose Research Designs - diffify
• {aides} 1.3.2: Additive Information & Details of Evidence Synthesis - diffify
• {santaR} 1.2.4: Short Asynchronous Time-Series Analysis - diffify
• {RNifti} 1.6.1: Fast R and C++ Access to NIfTI Images - diffify
• {NNS} 10.7: Nonlinear Nonparametric Statistics - diffify
• {LPCM} 0.47-4: Local Principal Curve Methods - diffify
• {RESET} 1.0.0: Reconstruction Set Test - diffify
• {RcmdrPlugin.HH} 1.1-51: Rcmdr Support for the HH Package - diffify
• {PartialNetwork} 1.0.3: Estimating Peer Effects Using Partial Network Data - diffify
• {omu} 1.1.2: A Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection - diffify
• {hermiter} 2.3.1: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate) - diffify
• {gdalcubes} 0.7.0: Earth Observation Data Cubes from Satellite Image Collections - diffify
• {colorRamps} 2.3.4: Builds Color Tables - diffify
• {accessibility} 1.4.0: Transport Accessibility Measures - diffify
• {betafunctions} 1.9.0: Functions for Working with Two- And Four-Parameter Beta Probability Distributions and Psychometric Analysis of Classifications - diffify
• {imf.data} 0.1.5: An Interface to IMF (International Monetary Fund) Data JSON API - diffify
• {dropout} 2.1.1: Handling Incomplete Responses in Survey Data Analysis - diffify
• {accSDA} 1.1.3: Accelerated Sparse Discriminant Analysis - diffify
• {periscope2} 0.2.3: Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash' - diffify
• {GENEAread} 2.0.10: Package for Reading Binary Files - diffify
• {cols4all} 0.7: Colors for all - diffify
• {quarto} 1.4: R Interface to 'Quarto' Markdown Publishing System - diffify
• {procs} 1.0.6: Recreates Some 'SAS®' Procedures in 'R' - diffify
• {gmodels} 2.19.1: Various R Programming Tools for Model Fitting - diffify
• {FastRCS} 0.0.9: Fits the FastRCS Robust Multivariable Linear Regression Model - diffify
• {stringmagic} 1.1.0: Character String Operations and Interpolation, Magic Edition - diffify
• {spocc} 1.2.3: Interface to Species Occurrence Data Sources - diffify
• {scoringTools} 0.1.3: Credit Scoring Tools - diffify
• {FastPCS} 0.1.4: FastPCS Robust Fit of Multivariate Location and Scatter - diffify
• {cheapr} 0.2.0: Simple Functions to Save Time and Memory - diffify
• {bayess} 1.6: Bayesian Essentials with R - diffify
• {prrd} 0.0.6: Parallel Runs of Reverse Depends - diffify
• {makemyprior} 1.2.0: Intuitive Construction of Joint Priors for Variance Parameters - diffify
• {hydraulics} 0.7.0: Basic Pipe and Open Channel Hydraulics - diffify
• {glmtree} 0.3.1: Logistic Regression Trees - diffify
• {flextable} 0.9.5: Functions for Tabular Reporting - diffify
• {ageutils} 0.0.2: Collection of Functions for Working with Age Intervals - diffify
• {cobs} 1.3-8: Constrained B-Splines (Sparse Matrix Based) - diffify
• {miniPCH} 0.3.2: Survival Distributions with Piece-Wise Constant Hazards - diffify
• {tm.plugin.alceste} 1.1.1: Import Texts from Files in the 'Alceste' Format Using the 'tm' Text Mining Framework - diffify
• {GenBinomApps} 1.2.1: Clopper-Pearson Confidence Interval and Generalized Binomial Distribution - diffify
• {shinyTempSignal} 0.0.8: Explore Temporal and Other Phylogenetic Signals - diffify
• {RcmdrPlugin.BWS3} 0.2-2: R Commander Plug-in for Case 3 Best-Worst Scaling - diffify
• {RcmdrPlugin.BWS2} 0.2-1: R Commander Plug-in for Case 2 Best-Worst Scaling - diffify
• {RcmdrPlugin.DCE} 0.2-2: R Commander Plug-in for Discrete Choice Experiments - diffify
• {RcmdrPlugin.BWS1} 0.2-1: R Commander Plug-in for Case 1 Best-Worst Scaling - diffify
• {rmpw} 0.0.5: Causal Mediation Analysis Using Weighting Approach - diffify
• {RcmdrPlugin.DCCV} 0.1-4: R Commander Plug-in for Dichotomous Choice Contingent Valuation - diffify
• {mediationsens} 0.0.3: Simulation-Based Sensitivity Analysis for Causal Mediation Studies - diffify
• {Sim.DiffProc} 4.9: Simulation of Diffusion Processes - diffify
• {PracTools} 1.4.3: Designing and Weighting Survey Samples - diffify
• {nodbi} 0.10.4: 'NoSQL' Database Connector - diffify
• {medScan} 1.0.2: Large Scale Single Mediator Hypothesis Testing - diffify
• {fdarep} 0.1.1: Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data - diffify
• {DrugUtilisation} 0.5.2: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model - diffify
• {adfExplorer} 0.1.8: Import from and Export to Amiga Disk Files - diffify
• {mortAAR} 1.1.6: Analysis of Archaeological Mortality Data - diffify
• {pubmedtk} 1.0.4: 'Pubmed' Toolkit - diffify
• {tidysdm} 0.9.4: Species Distribution Models with Tidymodels - diffify
• {PatientProfiles} 0.6.2: Identify Characteristics of Patients in the OMOP Common Data Model - diffify
• {rmarkdown} 2.26: Dynamic Documents for R - diffify
• {PSAgraphics} 2.1.3: Propensity Score Analysis Graphics - diffify
• {paws.common} 0.7.1: Paws Low-Level Amazon Web Services API - diffify
• {ebirdst} 3.2022.3: Access and Analyze eBird Status and Trends Data Products - diffify
• {constructive} 0.3.0: Display Idiomatic Code to Construct Most R Objects - diffify
• {admiral} 1.0.2: ADaM in R Asset Library - diffify
• {TNRS} 0.3.5: Taxonomic Name Resolution Service - diffify
• {tidycensus} 1.6.2: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames - diffify
• {starter} 0.1.15: Starter Kit for New Projects - diffify
• {rstan} 2.32.6: R Interface to Stan - diffify
• {monitOS} 0.1.4: Monitoring Overall Survival in Pivotal Trials in Indolent Cancers - diffify
• {miselect} 0.9.2: Variable Selection for Multiply Imputed Data - diffify
• {MAPA} 2.0.7: Multiple Aggregation Prediction Algorithm - diffify
• {logger} 0.3.0: A Lightweight, Modern and Flexible Logging Utility - diffify
• {lidR} 4.1.1: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications - diffify
• {geomorph} 4.0.7: Geometric Morphometric Analyses of 2D and 3D Landmark Data - diffify
• {common} 1.1.2: Solutions for Common Problems in Base R - diffify
• {UniprotR} 2.4.0: Retrieving Information of Proteins from Uniprot - diffify
• {PLNmodels} 1.2.0: Poisson Lognormal Models - diffify
• {CFO} 1.1.0: CFO-Type Designs in Phase I Clinical Trials - diffify
• {atrrr} 0.0.3: Wrapper for the 'AT' Protocol Behind 'Bluesky' - diffify
• {SARP.compo} 0.1.8: Network-Based Interpretation of Changes in Compositional Data - diffify
• {rgl} 1.3.1: 3D Visualization Using OpenGL - diffify
• {qris} 1.1.1: Quantile Regression Model for Residual Lifetime Using an Induced Smoothing Approach - diffify
• {minSNPs} 0.2.0: Resolution-Optimised SNPs Searcher - diffify
• {mlr3} 0.18.0: Machine Learning in R - Next Generation - diffify
• {saemix} 3.3: Stochastic Approximation Expectation Maximization (SAEM) Algorithm - diffify
• {OBIC} 3.0.2: Calculate the Open Bodem Index (OBI) Score - diffify
• {mlr3viz} 0.8.0: Visualizations for 'mlr3' - diffify
• {MissMech} 1.0.4: Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random - diffify
• {lava} 1.8.0: Latent Variable Models - diffify
• {LSX} 1.4.0: Semi-Supervised Algorithm for Document Scaling - diffify
• {naniar} 1.1.0: Data Structures, Summaries, and Visualisations for Missing Data - diffify
• {copulaData} 0.0-2: Data Sets for Copula Modeling - diffify
• {mmrm} 0.3.11: Mixed Models for Repeated Measures - diffify
• {spelling} 2.3.0: Tools for Spell Checking in R - diffify
• {pedgene} 3.8: Gene-Level Variant Association Tests for Pedigree Data - diffify
• {mlr3tuningspaces} 0.5.0: Search Spaces for 'mlr3' - diffify
• {mlr3tuning} 0.20.0: Hyperparameter Optimization for 'mlr3' - diffify
• {mlr3hyperband} 0.5.0: Hyperband for 'mlr3' - diffify
• {ggdist} 3.3.2: Visualizations of Distributions and Uncertainty - diffify
• {gdtools} 0.3.7: Utilities for Graphical Rendering and Fonts Management - diffify
• {coxme} 2.2-20: Mixed Effects Cox Models - diffify
• {psBayesborrow} 1.1.0: Bayesian Information Borrowing with Propensity Score Matching - diffify
• {geotopbricks} 1.5.8.2: An R Plug-in for the Distributed Hydrological Model GEOtop - diffify
• {smartDesign} 0.74: Sequential Multiple Assignment Randomized Trial Design - diffify
• {gausscov} 1.1.1: The Gaussian Covariate Method for Variable Selection - diffify
• {epidatr} 1.1.1: Client for Delphi's 'Epidata' API - diffify
• {smof} 1.1.0: Scoring Methodology for Ordered Factors - diffify
• {cata} 0.1.0.5: Analysis of Check-All-that-Apply (CATA) Data - diffify
• {pda} 1.2.7: Privacy-Preserving Distributed Algorithms - diffify
• {vcmeta} 1.3.0: Varying Coefficient Meta-Analysis - diffify
• {texmex} 2.4.9: Statistical Modelling of Extreme Values - diffify
• {snvecR} 3.9.1: Calculate Earth’s Obliquity and Precession in the Past - diffify
• {rasterdiv} 0.3.4: Diversity Indices for Numerical Matrices - diffify
• {qrmtools} 0.0-17: Tools for Quantitative Risk Management - diffify
• {qrmdata} 2024-03-04-2: Data Sets for Quantitative Risk Management Practice - diffify
• {nvmix} 0.1-1: Multivariate Normal Variance Mixtures - diffify
• {crop} 0.0-3: Graphics Cropping Tool - diffify
• {coala} 0.7.2: A Framework for Coalescent Simulation - diffify
• {BayesMortalityPlus} 0.2.3: Bayesian Mortality Modelling - diffify

CRANberries NEW:

• {nycflights23} 0.1.0: Flights and Other Useful Metadata for NYC Outbound Flights in 2023
• {UHM} 0.3.0: Unified Zero-Inflated Hurdle Regression Models
• {multipleOutcomes} 0.2: Asymptotic Covariance Matrix of Regression Models for Multiple Outcomes
• {fillpattern} 1.0.0: Patterned Fills for 'ggplot2' and 'grid' Graphics
• {simCAT} 1.0.0: Implements Computerized Adaptive Testing Simulations
• {rid} 0.0.1: Multiple Change-Point Detection in Multivariate Time Series
• {omock} 0.1.0: Creation of Mock Observational Medical Outcomes Partnership Common Data Model
• {EBASE} 1.0.0: Estuarine Bayesian Single-Station Estimation Method for Ecosystem Metabolism
• {detectR} 0.3.0: Change Point Detection
• {bibliorefer} 0.1.0: Generator of Main Scientific References
• {panelSUR} 0.1.0: Two-Way Error Component SUR Systems Estimation on Unbalanced Panel Data
• {lmap} 0.1.2: Logistic Mapping
• {corrmeta} 1.0.0: Correlated Meta-Analysis
• {atime} 2024.3.5: Asymptotic Timing
• {rcens} 0.1.0: Generate Sample Censoring
• {noisysbmGGM} 0.1.2.3: Noisy Stochastic Block Model for GGM Inference
• {MultiCOAP} 1.1: High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model
• {movegroup} 2024.03.05: Visualizing and Quantifying Space Use Data for Groups of Animals
• {iimi} 1.0.2: Identifying Infection with Machine Intelligence
• {praatpicture} 1.0.0: 'Praat Picture' Style Plots of Acoustic Data
• {paleoDiv} 0.2.2: Extracting and Visualizing Paleobiodiversity
• {CBnetworkMA} 0.1.0: Contrast-Based Bayesian Network Meta Analysis
• {fmdu} 0.1.1: (Restricted) [external] Multidimensional Unfolding
• {mappoly} 0.4.1: Genetic Linkage Maps in Autopolyploids
• {effClust} 0.8.0: Calculate Effective Number of Clusters for a Linear Model
• {multinma} 0.6.1: Bayesian Network Meta-Analysis of Individual and Aggregate Data
• {Rquake} 2.5-1: Seismic Hypocenter Determination
• {opinAr} 1.0.0: Argentina's Public Opinion Toolbox
• {KOR.addrlink} 1.0.1: Matching Address Data to Reference Index
• {heterometa} 0.2: Convert Various Meta-Analysis Heterogeneity Measures
• {ConsensusClustering} 1.2.0: Consensus Clustering
• {cheapr} 0.2.0: Simple Functions to Save Time and Memory
• {arcgis} 0.1.0: ArcGIS Location Services Meta-Package
• {tidyfinance} 0.1.0: Tidy Finance Helper Functions
• {teal.modules.general} 0.3.0: General Modules for 'teal' Applications
• {rcpptimer} 1.0.0: 'Rcpp' Tic-Toc Timer with 'OpenMP' Support
• {quollr} 0.1.1: Visualising How Nonlinear Dimension Reduction Warps Your Data
• {pldamixture} 0.1.0: Post-Linkage Data Analysis Based on Mixture Modelling
• {DiscreteDatasets} 0.1.0: Example Data Sets for Use with Discrete Statistical Tests
• {boostrq} 1.0.0: Boosting Regression Quantiles
• {BElikelihood} 1.1: Likelihood Method for Evaluating Bioequivalence
• {pageviews} 0.6.0: An API Client for Wikimedia Traffic Data
• {jlmerclusterperm} 1.1.3: Cluster-Based Permutation Analysis for Densely Sampled Time Data
• {rexer} 1.0.0: Random Exercises and Exams Generator
• {grouprar} 0.1.0: Group Response Adaptive Randomization for Clinical Trials
• {xegaPopulation} 1.0.0.0: Genetic Population Level Functions
• {timeless} 0.1.0: Fast General Purpose Date/Time Converter
• {T2DFitTailor} 1.0.0: 'Tailor the Exercise Plans and Visualize the Outcome for T2D Patients'
• {seguid} 0.1.0: Sequence Globally Unique Identifier (SEGUID) Checksums
• {proporz} 1.4.0: Proportional Apportionment
• {PMEvapotranspiration} 0.1.0: Calculation of the Penman-Monteith Evapotranspiration using Weather Variables
• {ggscidca} 0.1.0: Plotting Decision Curve Analysis with Coloured Bars
• {GFDrmst} 0.1.0: Multiple RMST-Based Tests in General Factorial Designs
• {EMgaussian} 0.2.1: Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data
• {basemaps} 0.0.6: Accessing Spatial Basemaps in R
• {geoAr} 1.0.0: Argentina's Spatial Data Toolbox
• {geostan} 0.5.4: Bayesian Spatial Analysis
• {spnaf} 0.3.1: Spatial Network Autocorrelation for Flow Data
• {RivRetrieve} 0.1.4: Retrieve Global River Gauge Data
• {jmastats} 0.2.1: Download Weather Data from Japan Meteorological Agency Website
• {wordbankr} 1.0.3: Accessing the Wordbank Database
• {TropFishR} 1.6.4: Tropical Fisheries Analysis
• {TestsSymmetry} 1.0.0: Tests for Symmetry when the Center of Symmetry is Unknown
• {OmicsQC} 1.1.0: Nominating Quality Control Outliers in Genomic Profiling Studies
• {habtools} 1.0.5: Tools and Metrics for 3D Surfaces and Objects
• {ggsankeyfier} 0.1.7: Create Sankey and Alluvial Diagrams Using 'ggplot2'
• {sccca} 0.1.0: Single-Cell Correlation Based Cell Type Annotation
• {geneHapR} 1.2.4: Gene Haplotype Statistics, Phenotype Association and Visualization
• {specs} 1.0.1: Single-Equation Penalized Error-Correction Selector (SPECS)
• {ao} 0.3.3: Alternating Optimization
• {SemiPar.depCens} 0.1.1: Copula Based Cox Proportional Hazards Models for Dependent Censoring
• {roxytypes} 0.1.0: Typed Parameter Tags for Integration with 'roxygen2'
• {metaConvert} 1.0.0: An Automatic Suite for Estimation of Various Effect Size Measures
• {JSDNE} 4.2.2: Estimating the Age using Auricular Surface by DNE
• {dlim} 0.1.0: Distributed Lag Interaction Model
• {agcounts} 0.6.6: Calculate 'ActiGraph' Counts from Accelerometer Data
• {SINRELEF.LD} 1.0.3: Reliability and Relative Efficiency in Locally-Dependent
• {rnaCrosslinkOO} 0.1.2: Analysis of RNA Crosslinking Data
• {paleobioDB} 1.0.0: Download and Process Data from the Paleobiology Database
• {chouca} 0.1.99: A Stochastic Cellular Automaton Engine
• {tidyheatmaps} 0.2.1: Heatmaps from Tidy Data
• {OptGS} 1.2: Near-Optimal Group-Sequential Designs for Continuous Outcomes
• {moderate.mediation} 0.0.8: Causal Moderated Mediation Analysis
• {SlicedLHD} 1.0: Sliced Latin Hypercube Designs
• {Lifertable} 0.0.1: Life and Fertility Tables Specially for Insects
• {GeneNMF} 0.4.0: Non-Negative Matrix Factorization for Single-Cell Omics
• {COAP} 1.1: High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model
• {normaliseR} 0.1.2: Re-Scale Vectors and Time-Series Features
• {multilevelmediation} 0.3.1: Utility Functions for Multilevel Mediation Analysis
• {gscramble} 1.0.1: Simulating Admixed Genotypes Without Replacement
• {flap} 0.1.0: Forecast Linear Augmented Projection
• {rgl.cry} 0.1.0: 'cry' and 'rgl' — Applications in Crystallography
• {optimizeR} 1.0.5: Unified Framework for Numerical Optimizers
• {gie} 0.1.1: API Wrapper for the Natural Gas Transparency Platforms of Gas Infrastructure Europe Repeated Functional Data
• {CureAuxSP} 0.0.1: Mixture Cure Models with Auxiliary Subgroup Survival Probabilities
• {ARMALSTM} 0.1.0: Fitting of Hybrid ARMA-LSTM Models
• {alarmdata} 0.2.1: Download, Merge, and Process Redistricting Data
• {vaxpmx} 0.0.3: Vaccines Pharmacometrics
• {tsnet} 0.1.0: Fitting, Comparing, and Visualizing Networks Based on Time Series Data
• {MR.RGM} 0.0.2: Multivariate Bidirectional Mendelian Randomization Networks