# Spatial Analysis with Misaligned Data Using Atom-Based Regression Models

## Documentation for package ‘spatialAtomizeR’ version 0.2.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

biasedUrn_rmfnc | R Wrapper Function for BiasedUrn Sampling
check_mcmc_diagnostics | Check MCMC Diagnostics
create_comparison_plots | Create Comparison Plots
create_diagnostic_plots | Create Diagnostic Plots
create_sensitivity_summary_plots | Create Sensitivity Summary Plots
create_summary_statistics | Create Summary Statistics
dasymetric_mapping | Dasymetric Mapping
dmfnchypg | Density function for multivariate non-central hypergeometric
fit_dasymetric_model | Fit Dasymetric Model
gen_correlated_spat | Generate Correlated Spatial Effects
get_abrm_model | Get ABRM Model Code for NIMBLE
plot.abrm | Plot method for abrm objects
plot.abrm_comparison | Plot method for abrm_comparison objects
prepare_adjacency_matrices | Prepare Adjacency Matrices
prepare_nimble_inputs | Prepare NIMBLE Model Inputs
prepare_spatial_bookkeeping | Prepare Spatial Bookkeeping
print.abrm | Print method for abrm objects
print.abrm_comparison | Print method for abrm_comparison objects
print.misaligned_data | Print method for misaligned_data objects
print.sensitivity_analysis | Print method for sensitivity_analysis objects
print_convergence_summary | Print Convergence Summary
register_nimble_distributions | Register Custom NIMBLE Distributions
Rmfnchypg | Nimble R Call Wrapper for BiasedUrn
rmfnchypg | Random generation for multivariate non-central hypergeometric
run_abrm | Run ABRM Analysis
run_both_methods | Run Both Methods and Compare
run_nimble_model | Run NIMBLE Model with Diagnostics
run_sensitivity_analysis | Run Sensitivity Analysis
simulate_misaligned_data | Simulate Misaligned Spatial Data
summary.abrm | Summary method for abrm objects
summary.abrm_comparison | Summary method for abrm_comparison objects
summary.misaligned_data | Summary method for misaligned_data objects
summary.sensitivity_analysis | Summary method for sensitivity_analysis objects