Bayesian Surprise for De-Biasing Thematic Maps

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Documentation for package ‘bayesiansurpriser’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

add_model	Add Model to Space
auto_surprise	Compute Surprise with Automatic Model Selection
bayesian_update	Bayesian Update of Model Space
bs_model_baserate	Create a Base Rate Model
bs_model_baserate_col	Create Base Rate Model from Column
bs_model_bootstrap	Create a Bootstrap Sample Model
bs_model_funnel	Create a de Moivre Funnel Model
bs_model_funnel_col	Create Funnel Model from Column
bs_model_gaussian	Create a Gaussian Model
bs_model_gaussian_mixture	Create Multi-Modal Gaussian Mixture Model
bs_model_sampled	Create a Sampled Subset Model (KDE)
bs_model_uniform	Create a Uniform Model
canada_mischief	Canadian Mischief Crime Data by Province
compute_funnel_data	Compute Funnel Plot Data
compute_surprise	Compute Per-Region Surprise
cumulative_bayesian_update	Global Bayesian Update Across All Regions
default_model_space	Default Model Space
example_counties	Example County Data with Simulated Events
funnel_pvalue	Compute P-Value from Funnel Z-Score
funnel_zscore	Funnel Z-Score (de Moivre)
geom_surprise	Surprise Map Geom
geom_surprise_density	Surprise Density Plot
geom_surprise_histogram	Surprise Histogram
get_model_space	Get the model space from a surprise result
get_surprise	Extract surprise values from result objects
get_surprise_at_time	Get Surprise at Specific Time
kl_divergence	Kullback-Leibler Divergence
log_sum_exp	Log-Sum-Exp (Numerically Stable)
model_names	Get Model Names
model_space	Create a Model Space
normalize_minmax	Min-Max Normalization
normalize_prob	Normalize to Probability Distribution
normalize_rate	Normalize to Rate (Per Capita)
normalize_robust	Robust Normalization (using quantiles)
normalize_zscore	Z-Score Normalization
n_models	Get Number of Models
plot.bs_model_space	Plot Model Space
plot.bs_surprise	Plot Surprise Result
plot.bs_surprise_sf	Plot Surprise Map (sf)
plot.bs_surprise_temporal	Plot Temporal Surprise
remove_model	Remove Model from Space
scale_color_surprise	Surprise Color Scale (Sequential)
scale_color_surprise_binned	Binned Surprise Scale
scale_color_surprise_diverging	Signed Surprise Color Scale (Diverging)
scale_color_surprise_thresholds	Signed Surprise Scale with Meaningful Thresholds
scale_colour_surprise	Surprise Color Scale (Sequential)
scale_colour_surprise_binned	Binned Surprise Scale
scale_colour_surprise_diverging	Signed Surprise Color Scale (Diverging)
scale_colour_surprise_thresholds	Signed Surprise Scale with Meaningful Thresholds
scale_fill_surprise	Surprise Color Scale (Sequential)
scale_fill_surprise_binned	Binned Surprise Scale
scale_fill_surprise_diverging	Signed Surprise Color Scale (Diverging)
scale_fill_surprise_diverging_binned	Binned Diverging Surprise Scale
scale_fill_surprise_manual	Manual Surprise Breaks Scale
scale_fill_surprise_thresholds	Signed Surprise Scale with Meaningful Thresholds
set_prior	Set Prior Probabilities
stat_surprise	Compute Surprise as ggplot2 Stat
stat_surprise_sf	Stat for Surprise with sf Geometries
st_density	Spatial Density Estimation for sf Objects
st_density_at	Evaluate Density at sf Feature Locations
st_surprise	Compute Surprise for sf Object
surprise	Compute Bayesian Surprise
surprise.data.frame	Compute Bayesian Surprise
surprise.sf	Compute Bayesian Surprise
surprise.tbl_df	Compute Bayesian Surprise
surprise_animate	Create Animation-Ready Data from Temporal Results
surprise_rolling	Rolling Window Surprise
surprise_temporal	Compute Temporal Surprise
update_surprise	Update Surprise with New Data (Streaming)