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Ian D Buller's repositories

ndi

Compute various geospatial neighborhood deprivation indices

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geo_US_lung_cancer_and_smoking

Companion for the 2023 manuscript in Cancer Epidemiology, Biomarkers & Prevention entitled "Geographic Patterns in U.S. Lung Cancer Mortality and Cigarette Smoking"

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geoCOV

Mapping SARS-CoV-2 data in United States counties in R

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inla_car

INLA code for conditional autoregressive models (including zero-inflated Poisson models)

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prism_pca

Process and functions for a Principal Component Analysis of raster data

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NCI_Cancer_Center_Catchment_Areas

Companion for the 2022 manuscript in Cancer Epidemiology, Biomarkers & Prevention entitled "A National Map of NCI-Designated Cancer Center Catchment Areas on the 50th Anniversary of the Cancer Centers Program"

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brewtruck

Daily food trucks at Breweries in Golden, CO

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census_gis

Process and functions used to use U.S. Census Bureau data geospatially

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coviDC

Map of SARS-CoV-2 Data in the District of Columbia Using R

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DCgeo

Creating static and interactive maps of the District of Columbia in R

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geocode_coyote

Process and functions used to geolocate coyote observations by the California Department of Public Health (CDPH)

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geomethylation

Companion for the YYYY manuscript in [INSERT JOURNAL] entitled "Neighborhood-Level Deprivation and Survival in Lung Cancer"

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github-readme-stats

:zap: Dynamically generated stats for your github readmes

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hexSticker

:sparkles: Hexagon sticker in R

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idblr

Personal website of Ian David Buller

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multiple-testing

R code to implement methods by Benjamini and Hochberg (1995), Benjamini and Yekutieli (2001), and Benjamini and Yekutieli (2005) for adjusting p-values and confidence intervals for multiple testing.

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Plague_Coyote_Climate

Companion for the 20XX manuscript in ______ entitled "Multiple 'spaces': using wildlife surveillance, climatic variables, and spatial statistics to identify and map a climatic niche for endemic plague in California, U.S.A."

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qgcomp

QGcomp (quantile g-computation): estimating the effects of exposure mixtures. Works for continuous, binary, and right-censored survival outcomes. Flexible, unconstrained, fast and guided by modern causal inference principles

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sparr

:exclamation: This is a read-only mirror of the CRAN R package repository. sparr — Spatial and Spatiotemporal Relative Risk. Homepage: http://tilmandavies.github.io/sparr, https://github.com/tilmandavies/sparr Report bugs for this package: https://github.com/tilmandavies/sparr/issues

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SpatialEpi

R Package of methods and data for spatial epidemiology

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unmarked

R package for hierarchical models in ecological research

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