niphr.r-universe.dev

[niphr] csalert 2026.7.1

hello@rwhite.no (Richard Aubrey White) — Thu, 02 Jul 2026 08:47:03 GMT

Helps create alerts and determine trends by using various methods to analyze public health surveillance data. The primary analysis method is based upon a published analytics strategy by Benedetti (2019) .

[niphr] cstidy 2026.7.1

hello@rwhite.no (Richard Aubrey White) — Thu, 02 Jul 2026 08:44:06 GMT

Helpful functions for the cleaning and manipulation of surveillance data, especially with regards to the creation and validation of panel data from individual level surveillance data.

[niphr] csdata 2026.7.2

hello@rwhite.no (Richard Aubrey White) — Thu, 02 Jul 2026 06:40:10 GMT

Datasets relating to population in municipalities, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2024.

[niphr] csstyle 2026.7.1

hello@rwhite.no (Richard Aubrey White) — Wed, 01 Jul 2026 17:48:43 GMT

A comprehensive styling system for consistent visual outputs using 'Core Surveillance' guidelines. Provides 'ggplot2' themes, color palettes, and dual formatting functions to standardize graphs, tables, and reports. Includes Norwegian formatting conventions for domestic use and international journal standards for academic publications. Features number formatting (percentages, per-100k rates, log transformations), date formatting (Norwegian vs ISO 8601), and a hierarchical color system. Focuses on consistency over flexibility to ensure reproducible, professional outputs across research contexts.

[niphr] csutil 2023.4.25

hello@rwhite.no (Richard Aubrey White) — Wed, 01 Jul 2026 09:02:27 GMT

Utility functions that help with common base-R problems relating to lists. Lists in base-R are very flexible. This package provides functions to quickly and easily characterize types of lists. That is, to identify if all elements in a list are null, data.frames, lists, or fully named lists. Other functionality is provided for the handling of lists, such as the easy splitting of lists into equally sized groups, and the unnesting of data.frames within fully named lists.

[niphr] cstime 2025.10.13

hello@rwhite.no (Richard Aubrey White) — Wed, 01 Jul 2026 09:02:24 GMT

Provides easy and consistent time conversion for public health purposes. The time conversion functions provided here are between date, ISO week, ISO yearweek, ISO year, calendar month/year, season, season week.

[niphr] csmaps 2025.8.21

hello@rwhite.no (Richard Aubrey White) — Wed, 01 Jul 2026 09:02:17 GMT

Provides datasets containing preformatted maps of Norway at the county, municipality, and ward (Oslo only) level for redistricting in 2024, 2020, 2018, and 2017. Multiple layouts are provided (normal, split, and with an insert for Oslo), allowing the user to rapidly create choropleth maps of Norway without any geolibraries.

[niphr] csdb 2026.5.13

hello@rwhite.no (Richard Aubrey White) — Wed, 01 Jul 2026 09:02:15 GMT

Provides object-oriented database management tools for working with large datasets across multiple database systems. Features include robust connection management for 'PostgreSQL' databases, advanced table operations with bulk data loading and upsert functionality, comprehensive data validation through customizable field type and content validators, efficient index management, and cross-database compatibility. Designed for high-performance data operations in surveillance systems and large-scale data processing workflows.

[niphr] cs9 26.5.13

hello@rwhite.no (Richard Aubrey White) — Wed, 01 Jul 2026 09:02:08 GMT

A comprehensive framework for building real-time disease surveillance systems. Provides R6-based infrastructure for database-driven surveillance tasks, with support for parallel processing, data validation, and automated pipeline execution. Designed for epidemiological analysis and public health monitoring applications.