Package: EconCausal
Type: Package
Title: Causal Analysis for Macroeconomic Time Series (ECM-MARS, BSTS,
        Bayesian GLM-AR(1))
Version: 1.0.2
Authors@R: 
    c(person(given = "José Mauricio", family = "Gómez Julián",
             role = c("aut", "cre"),
             email = "isadore.nabi@pm.me"))
Description: 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.
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
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)
URL: https://github.com/IsadoreNabi/EconCausal
BugReports: https://github.com/IsadoreNabi/EconCausal/issues
Additional_repositories: https://stan-dev.r-universe.dev
RoxygenNote: 7.3.3
Config/testthat/edition: 3
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-01 21:20:48 UTC; ROG
Author: José Mauricio Gómez Julián [aut, cre]
Maintainer: José Mauricio Gómez Julián <isadore.nabi@pm.me>
Repository: CRAN
Date/Publication: 2025-10-08 08:40:24 UTC
Built: R 4.6.0; ; 2026-04-29 16:07:00 UTC; unix
