rPackages

Computation of Spatial Covariance Matrices for Data on Rectangles

Deconvolution of Spatial Transcriptomics Data Based on Neural Networks

Spatial Analysis and Modelling Utilities

Methods and Data for Spatial Epidemiology

Modelling Spatial Extremes

Spatial Functional Data Analysis

Visualization and Analysis of Spatial Heterogeneity in Spatially-Resolved Gene Expression

Fit Spatial Generalized Extreme Value Models

The SpatialGraph Class and Utilities

Ising Model for Spatial Data

Kernel Density Estimation for Spatial Data

Spatial KWD for Large Spatial Maps

Spatial Machine Learning

Multivariate Nonparametric Methods Based on Spatial Signs and Ranks

Tools for Assessment the Association Between Two Spatial Processes

Generation of Spatial Data with Spatially Varying Model Parameter

Spatial Position Models

Spatial Probit Models

Conduct Multiple Types of Geographic Regression Discontinuity Designs

Spatial Regression Analysis

Spatial Constrained Clusterwise Regression

Easy Spatial Modeling with Random Forest

Calculating Spatial Risk

Robust Maximum Likelihood Estimation for Spatial Error Model

Spatial Resampling Infrastructure

Spatial Analysis of Vectra Immunoflourescent Data

Tools for Spatial Data Analysis

Spatial Variable Selection

Spatial Forecast Verification

Spatial Early Warning Signals of Ecosystem Degradation

Formats Spatial Data for Use in Htmlwidgets

Regularized Spatial Maximum Covariance Analysis

Topic Inference to Identify Tissue Architecture in Multiplexed Images

Regularized Principal Component Analysis for Spatial Data

Inference for Spatiotemporal Partially Observed Markov Processes

Spatial Analysis of Field Trials with Splines

Group Animal Relocation Data by Spatial and Temporal Relationship

Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests

Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models

Simple Progress Bars for Procedural Coding

Convert Spatial Data Using Tidy Tables

Spatially Balanced Sampling Algorithms

Univariate and Multivariate Spatial-Temporal Modeling

Bayesian Modeling and Analysis of Spatially Correlated Survival Data

Spatial Bayesian Factor Analysis

Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning

Spatially Balanced Sampling

Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures

Statistical Process Control for Stochastic Textured Surfaces

Functions for Calibrating Control Charts

A New Reduced-Rank Linear Discriminant Analysis Method

Sparse Principal Component Analysis via Random Projections (SPCAvRP)

Design and Analyze Studies using the Sequential Parallel Comparison Design

Compute Power or Sample Size for GWAS with Covariate Effect

Computing Scales of Spatial Smoothing for Confounding Adjustment

Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata

Sparse Estimation of a Covariance Matrix

Spatially Varying Change Points

Sparse Principal Component Regression

Semi Parametric Distribution

Datasets for Spatial Analysis

Analysis of Spatial Gradients in Radiocarbon Dates

Spatial Dependence: Weighting Schemes, Statistics

Designing Stated Preference Experiments

Easier Use of 'RcppSpdlog' Functions via Wrapper

Spatial Downscaling Using Bias Correction Approach

Split-Population Duration (Cure) Regression