Causal Analysis for Macroeconomic Time Series (ECM-MARS, BSTS, Bayesian GLM-AR(1)) R package EconCausal version 1.0.2 Implements three complementary pipelines for causal analysis on macroeconomic time series: (1) Error-Correction Models with Multivariate Adaptive Regression Splines (ECM-MARS), (2) Bayesian Structural Time Series (BSTS), and (3) Bayesian GLM with AR(1) errors validated with Leave-Future-Out (LFO). Heavy backends (Stan) are optional and never used in examples or tests. Software Depends: R (>= 4.1) Imports: brms, readxl, dplyr, tidyr, tibble, purrr, bsts, BoomSpikeSlab, tseries, urca, vars, progressr, future.apply, rlang, magrittr, parallel, stats, utils Suggests: knitr, cmdstanr, rstan, future, RhpcBLASctl, rmarkdown, testthat (>= 3.0.0) José Mauricio Gómez Julián <isadore.nabi@pm.me> Comprehensive R Archive Network (CRAN) José Mauricio Gómez Julián [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=EconCausal/LICENSE) 2025-10-08 application/tgz https://CRAN.R-project.org/package=EconCausal doi:10.32614/CRAN.package.EconCausal en-US