https://viniciusoike.r-universe.devRecent package updates in viniciusoikeR-universehttps://github.com/viniciusoike.pnghttps://viniciusoike.r-universe.devThu, 04 Jun 2026 21:25:39 GMTviniciusoike@gmail.com (Vinicius Oike)Provides passenger demand data for the São Paulo metro system, covering 2012 to 2026. Datasets include monthly passenger entries and transported counts by line, average weekday station entries, daily station entries, and spatial geometries for metro and commuter train lines and stations.https://github.com/r-universe/viniciusoike/actions/runs/26980872047Thu, 04 Jun 2026 21:25:39 GMTmetrosp1.0.0successhttps://viniciusoike.r-universe.devhttps://github.com/viniciusoike/metrospdata-dictionary.qmddata-dictionary.htmldata-dictionary2026-06-03 17:18:282026-06-04 16:15:59getting_started.qmdgetting_started.htmlgetting_started2026-05-02 04:12:522026-06-03 17:18:38viniciusoike@gmail.com (Vinicius Oike Reginatto)Provides access to Brazilian real estate market data from multiple official sources: the Central Bank of Brazil (BCB) <https://www.bcb.gov.br/>, the Brazilian Association of Real Estate Developers (ABRAINC) <https://abrainc.org.br/>, the Brazilian Association of Real Estate Credit and Savings Entities (ABECIP) <https://www.abecip.org.br/>, the Getulio Vargas Foundation (FGV) <https://portalibre.fgv.br/>, and the Bank for International Settlements (BIS) <https://www.bis.org/>.https://github.com/r-universe/viniciusoike/actions/runs/26676742039Sat, 30 May 2026 02:45:34 GMTrealestatebr1.0.0successhttps://viniciusoike.r-universe.devhttps://github.com/viniciusoike/realestatebrgetting-started.Rmdgetting-started.htmlGetting Started with realestatebr2023-08-02 03:15:412026-05-29 21:58:07working-with-rppi.Rmdworking-with-rppi.htmlWorking with Property Price Indices2025-10-04 12:38:212026-05-19 02:55:05viniciusoike@gmail.com (Vinicius Oike)Extract trends from monthly and quarterly economic time series. Provides two main functions: augment_trends() for pipe-friendly 'tibble' workflows and extract_trends() for direct time series analysis. Includes established econometric filters such as Hodrick-Prescott (HP), Baxter-King, Christiano-Fitzgerald, and Hamilton, alongside moving averages and smoothing methods. Smart defaults are tuned for common economic frequencies following Ravn and Uhlig (2002) <doi:10.1162/003465302317411604>.https://github.com/r-universe/viniciusoike/actions/runs/25699944484Mon, 11 May 2026 21:10:24 GMTtrendseries1.2.0successhttps://viniciusoike.r-universe.devhttps://github.com/viniciusoike/trendserieseconometric-filters.Rmdeconometric-filters.htmlEconometric Filters: Henderson, Bandpass, HP, and Hamilton2026-05-10 23:21:112026-05-10 23:21:11trendseries.Rmdtrendseries.htmlGetting Started with trendseries2025-10-03 00:52:432026-05-10 03:27:30moving-averages.Rmdmoving-averages.htmlMoving Averages for Trend Analysis2025-09-16 02:08:532026-05-11 20:34:54