ggguides - Simplified Legend and Guide Alignment for 'ggplot2'

Provides one-liner functions for common legend and guide operations in 'ggplot2'. Simplifies legend positioning, styling, wrapping, and collection across multi-panel plots created with 'patchwork' or 'cowplot'.

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data-visualizationdatavizggplot2ggplot2-extensionlegendpatchwork

6.22 score 5 stars 12 scripts 414 downloads

couplr - Optimal Pairing and Matching via Linear Assignment

Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, range, robust), greedy matching algorithms, and comprehensive balance diagnostics for assessing match quality using standardized differences and distribution comparisons.

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bipartite-matchinglinear-assignmentoptimizationcpp

6.20 score 1 stars 33 scripts 596 downloads

corrselect - Correlation-Based and Model-Based Predictor Pruning

Provides functions for predictor pruning using association-based and model-based approaches. Includes corrPrune() for fast correlation-based pruning, modelPrune() for VIF-based regression pruning, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, GLMs, and mixed models ('lme4', 'glmmTMB').

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correlationenumerationfeature-selection-glmgraph-algorithmsmachine-learningmixed-modelsmulticollinearityregressionstatisticsvariable-selectionvifcpp

6.11 score 2 stars 15 scripts 589 downloads

hexify - Equal-Area Hex Grids on the 'Snyder' 'ISEA' 'Icosahedron'

Provides functions to build and use hexagonal discrete global grids using the 'Snyder' 'ISEA' projection ('Snyder' 1992 <doi:10.3138/27H7-8K88-4882-1752>) and the 'H3' hierarchical hexagonal system ('Uber' Technologies). Implements the 'ISEA' discrete global grid system ('Sahr', 'White' and 'Kimerling' 2003 <doi:10.1559/152304003100011090>). Includes a fast 'C++' core for 'ISEA' projection and aperture quantization, an included 'H3' v4.4.1 C library for native 'H3' grid operations, and 'sf'/'terra'-compatible R wrappers for grid generation and coordinate assignment. Output is compatible with 'dggridR' for interoperability.

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dggsdiscrete-global-gridequal-areageospatialgishexagonal-gridicosahedral-gridicosahedroniseaspatialspatial-analysiscpp

5.86 score 29 scripts 191 downloads

BORG - Bounded Outcome Risk Guard for Model Evaluation

Comprehensive toolkit for valid spatial, temporal, and grouped model evaluation. Automatically detects data dependencies (spatial autocorrelation, temporal structure, clustered observations), generates appropriate cross-validation schemes (spatial blocking, checkerboard, hexagonal, KNNDM, environmental blocking, leave-location-out, purged CV), and validates evaluation pipelines for leakage. Includes area of applicability (AOA) assessment following Meyer & Pebesma (2021) <doi:10.1111/2041-210X.13650>, forward feature selection with blocked CV, spatial thinning, block-permutation variable importance, extrapolation detection, and interactive visualizations. Integrates with 'tidymodels', 'caret', 'mlr3', 'ENMeval', and 'biomod2'. Based on evaluation principles described in Roberts et al. (2017) <doi:10.1111/ecog.02881>, Kaufman et al. (2012) <doi:10.1145/2382577.2382579>, Kapoor & Narayanan (2023) <doi:10.1016/j.patter.2023.100804>, and Linnenbrink et al. (2024) <doi:10.5194/gmd-17-5897-2024>.

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dependencemodel-evaluationriskvalidationcpp

5.72 score 13 scripts 513 downloads

joinspy - Diagnostic Tools for Data Frame Joins

Provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in 'Wickham' (2014) <doi:10.18637/jss.v059.i10>.

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data-wranglingdiagnosticsdyplrjoins

5.65 score 3 stars 9 scripts 145 downloads

keyed - Explicit Key Assumptions for Flat-File Data

Helps make implicit data assumptions explicit by attaching keys to flat-file data that error when those assumptions are violated. Designed for CSV-first workflows without database infrastructure or version control. Provides key definition, assumption checks, join diagnostics, and automatic drift detection via watched data frames that snapshot before each transformation and report cell-level changes.

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csvdata-integritydata-qualitydata-validationdata-wranglingflat-filetidyverse

5.08 score 2 stars 7 scripts 146 downloads

restrictR - Composable Runtime Contracts for R

Build reusable validators from small building blocks using the base pipe operator. Define runtime contracts once with 'restrict()' and enforce them anywhere in code. Validators compose naturally, support dependent rules via formulas, and produce clear, path-aware error messages. No DSL, no operator overloading, just idiomatic R.

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contractsruntime-checksruntime-contractsvalidation

5.00 score 5 stars 7 scripts 474 downloads

tulpaMesh - Constrained Delaunay Triangulation Meshes for Spatial 'SPDE' Models

Generate constrained Delaunay triangulation meshes for use with stochastic partial differential equation (SPDE) spatial models (Lindgren, Rue and Lindstroem 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Provides automatic mesh generation from point coordinates with boundary constraints, Ruppert refinement for mesh quality, finite element method (FEM) matrix assembly (mass, stiffness, projection), barrier models, spherical meshes via icosahedral subdivision, and metric graph meshes for network geometries. Built on the 'CDT' header-only C++ library (Amirkhanov 2024 <https://github.com/artem-ogre/CDT>). Designed as the mesh backend for the 'tulpa' Bayesian hierarchical modelling engine but usable standalone for any spatial triangulation task.

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delaunayecologyfemgeostatisticsmeshspatialspdecpp

4.88 score 1 stars 9 scripts 146 downloads

areaOfEffect - Classify Points by Distance to Polygon Boundaries

Classifies spatial points relative to polygon boundaries, labeling each point as "core" (inside), "halo" (in a buffer zone), or pruning it (outside both). Handles projection, buffering, and point-in-polygon operations automatically. The default buffer produces equal core and halo areas, providing a scale-independent definition of "near the boundary." An optional mask clips the buffer to relevant areas such as coastlines.

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4.86 score 1 stars 12 scripts 162 downloads

texanshootR - Reproducible Audit Trails for Indefensible Research

Provides a structured, terminal-first interface for exploratory model search, including transformation grids, predictor-subset enumeration, interaction screening, principled- sounding sample restrictions, outcome engineering, and model-form escalation (polynomial / spline wraps, robust M-estimation, generalized linear model (GLM) family swaps, random-intercept lifts). Persistent run history, achievement tracking, and reportable output generators (manuscript, presentation, funding letter, graphical abstract, reviewer response) are included.

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exploratory-analysislinear-modelsroguelikecpp

4.40 score 81 downloads