Changelog

timefishr 0.1.1

• Made *_integrated.csv the canonical package data source end-to-end (timefish_path(), timefish_update(), and bundled inst/extdata/ files).
• Changed remote update priority to use the GitHub raw inst/extdata/ source first, and limited HTTP fallback downloads to integrated file names.
• Improved timefish_between() so timefish_between(2020) is valid and behaves as a single-year inclusive filter.
• Added individual-based effort standardisation helpers: timefish_minimum_individuals(), timefish_rarefy_focal(), timefish_rarefy_abundance(), and timefish_rarefy_richness().
• Added timefish_sample_individuals() to draw a fixed number of individuals per transect/site/locality while preserving species identity and sampled biomass for downstream functional metrics.
• Added optional parallel execution to individual-based standardisation functions with automatic core detection, user core selection, and runtime-estimate tables by core count.
• Added a startup message when attaching timefishr to surface integrated data source, available cores, optional Drive support, and guide links.

timefishr 0.1.0.9000

• Added approved TimeFish data from Brazil, including Alcatrazes, Ilhabela, São Sebastião, and Santa Catarina, covering 2013-2015, 2020-2023, and 2026. Use timefish_update(TRUE) to refresh the local package snapshot with the newest approved records.
• Added timefish_refresh_snapshot() and timefish_update() so users can refresh the installed package cache from a local TimeFish checkout or a published snapshot source.
• Improved timefish_update() remote refresh reliability by trying both the public site snapshot and a GitHub raw mirror, and by avoiding partial cache updates when only some files download.

timefishr 0.1.0

Initial public release of timefishr.

Highlights:

• Added table discovery helpers for the bundled CSV snapshot: timefish_tables() and timefish_columns().
• Added query helpers to filter any bundled table by any available column: timefish_query(), timefish_query_bundle(), and timefish_between().
• Added download helpers for filtered exports: timefish_download(), timefish_download_census(), timefish_download_uvc(), timefish_download_location(), and timefish_download_taxonomic().
• Added direct access helpers for the three bundled tables: timefish_census(), timefish_location(), and timefish_taxonomic().
• Added analysis helpers for merged summaries: timefish_join(), timefish_summary_by_year(), and timefish_summary_by_geo().
• Bundled the current project snapshot in inst/extdata/ so the package works offline after installation.
• Published the workflow guide and public package site to document the data access workflow in R.