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

Exploratory Data Analysis for the 'spatstat' Family
R package spatstat.explore version 3.2-7

Geometrical Functionality of the 'spatstat' Family

Interactive Graphics Functions for the 'spatstat' Package

Extension to 'spatstat' for Large Datasets on a Linear Network

Linear Networks Functionality of the 'spatstat' Family

Extension to 'spatstat' for Local Composite Likelihood

Parametric Statistical Modelling and Inference for the
'spatstat' Family

Random Generation Functionality for the 'spatstat' Family

Sparse Three-Dimensional Arrays and Linear Algebra Utilities

One-Dimensional Probability Distribution Support for the
'spatstat' Family

Bayesian Spatial Survival Analysis with Parametric Proportional
Hazards Models
R package spatsurv version 2.0-1

Simple Progress Bars for Procedural Coding

Univariate and Multivariate Spatial-Temporal Modeling

Bayesian Modeling and Analysis of Spatially Correlated Survival
Data

Statistical Process Control -- Calculation of ARL and Other
Control Chart Performance Measures
R package spc version 0.6.8

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)
R package SPCAvRP version 0.4

Design and Analyze Studies using the Sequential Parallel
Comparison Design

Compute Power or Sample Size for GWAS with Covariate Effect

Spatial Coverage Sampling and Random Sampling from Compact
Geographical Strata
R package spcosa version 0.4-2

Sparse Estimation of a Covariance Matrix

Analysis of Spatial Gradients in Radiocarbon Dates

Spatial Dependence: Weighting Schemes, Statistics