Package: sufficientForecasting Type: Package Title: Sufficient Forecasting using Factor Models Version: 0.1.0 Authors@R: c(person(given = "Jianqing", family = "Fan", role = "aut"), person(given = "Jing", family = "Fu", email = "jingfu991224@outlook.com", role = c("aut","cre")), person(given = "Wei", family = "Luo", role = "aut"), person(given = "Lingzhou", family = "Xue", role = "aut"), person(given = "Jiawei", family = "Yao", role = "aut"), person(given = "Xiufan", family = "Yu", role = "aut") ) Description: The sufficient forecasting (SF) method is implemented by this package for a single time series forecasting using many predictors and a possibly nonlinear forecasting function. Assuming that the predictors are driven by some latent factors, the SF first conducts factor analysis and then performs sufficient dimension reduction on the estimated factors to derive predictive indices for forecasting. The package implements several dimension reduction approaches, including principal components (PC), sliced inverse regression (SIR), and directional regression (DR). Methods for dimension reduction are as described in: Fan, J., Xue, L. and Yao, J. (2017) , Luo, W., Xue, L., Yao, J. and Yu, X. (2022) and Yu, X., Yao, J. and Xue, L. (2022) . License: GPL (>= 3) Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.3 Imports: gam, stats Roxygen: list(markdown = TRUE) Depends: R (>= 2.10) Suggests: knitr, rmarkdown VignetteBuilder: knitr URL: https://github.com/JingFu1224/sufficientForecasting BugReports: https://github.com/JingFu1224/sufficientForecasting/issues Repository: https://jingfu1224.r-universe.dev Date/Publication: 2023-02-17 02:58:28 UTC RemoteUrl: https://github.com/jingfu1224/sufficientforecasting RemoteRef: HEAD RemoteSha: 2ae5f87933f35a3e6d53d3cc4fd589d23659a738 NeedsCompilation: no Packaged: 2026-06-20 09:12:09 UTC; root Author: Jianqing Fan [aut], Jing Fu [aut, cre], Wei Luo [aut], Lingzhou Xue [aut], Jiawei Yao [aut], Xiufan Yu [aut] Maintainer: Jing Fu