Software

R packages for Bayesian spatial statistics, scalable Gaussian process models, interpolation, ecological monitoring, and forest inventory analysis.

Maintained packages

stLMM

Bayesian linear mixed models with structured spatial, temporal, and space-time latent processes using sparse precision formulations.

Docs GitHub

spNNGP

Scalable Bayesian spatial and spatial-temporal modeling using nearest neighbor Gaussian processes for large datasets.

Docs GitHub CRAN

spBayes

Bayesian univariate and multivariate spatial and spatial-temporal models, including hierarchical point-referenced models and spatially varying coefficients.

Docs GitHub CRAN

MBA

Multilevel B-spline approximation for fast interpolation and smoothing of scattered data over regular grids.

Docs GitHub CRAN

Collaborative packages

spOccupancy

Single-species, multi-species, integrated, and spatial occupancy models that account for imperfect detection.

Docs GitHub CRAN

spAbundance

Spatially explicit abundance models for single-species and multi-species ecological data, including large spatial datasets.

Docs GitHub CRAN

rFIA

Tools for accessing, summarizing, and analyzing USDA Forest Inventory and Analysis data in reproducible R workflows.

Docs GitHub CRAN

yaImpute

Nearest neighbor observation imputation and evaluation tools for multivariate data, including random forest-based methods.

Docs GitHub CRAN