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plnr - A Framework for Planning and Executing Analyses

Use a plan to run the same analysis function over many sets of arguments, or to run different functions on the same data. A plan holds the data sources, the argument sets and the functions. Running the plan loads the data once and passes it to every analysis, in sequence or in parallel. Typical uses are one method applied across strata such as locations or age groups, or across exposures and outcomes, and the tables and figures of a report.

Last updated

6.58 score 4 stars 2 dependents 7 scripts 439 downloads

csdata - Structural Data for Norway

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

Last updated

csverse

6.50 score 2 dependents 25 scripts 605 downloads

org - Organising Projects

A framework for organizing R projects with a standardized structure. Most analyses consist of three main components: code, results, and data, each with different requirements such as version control, sharing, and encryption. This package provides tools to set up and manage project directories, handle file paths consistently across operating systems, organize results using date-based structures, source code from specified directories, and perform file operations safely. It ensures consistency across projects while accommodating different requirements for various types of content.

Last updated

6.49 score 1 stars 68 scripts 515 downloads

csdb - An Abstracted System for Easily Working with Databases with Large Datasets

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.

Last updated

csverse

5.92 score 1 stars 2 dependents 1 scripts 464 downloads

cs9 - A Framework for Real-Time Analysis and Disease Surveillance

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.

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5.12 score 1 dependents 6 scripts

csstyle - Standardizing Outputs in the 'Core Surveillance' Style

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.

Last updated

csverse

3.78 score 1 stars 3 scripts

cohort - Build Analytic Cohorts with Full Provenance

A framework for building analytic cohorts with full provenance. Supports branched cohort trees, per-step exclusion logging with human-readable reasons, schema validation at branch boundaries, cached derived artifacts on each cohort, and CONSORT diagram generation. The framework cleanly separates cohort definition from analysis: it produces analytic data tables that downstream packages can consume. A shared-base storage strategy keeps memory flat as the cohort tree grows.

Last updated

3.54 score 3 scripts

cs9example - A skeleton implementation of cs9 (Core Surveillance 9)

A skeleton implementation of cs9 (Surveillance Core 9).

Last updated

csversesc9

2.40 score 5 scripts

csdocs - Markdown Reference and Site Documentation for R Packages

Renders the Rd documentation of an R package as plain 'Markdown': one file per topic, an index, and one file with the full reference. The output reads well on 'GitHub' and works as context for a large language model. It reads an installed package with tools::Rd_db(), or a source package from its man/*.Rd files without installation.

Last updated

2.00 score