Package: DPI
Title: The Directed Prediction Index for Causal Direction Inference
        from Observational Data
Version: 2026.2
Date: 2026-02-25
Authors@R: 
    c(person(given = "Han Wu Shuang",
             family = "Bao",
             role = c("aut", "cre"),
             email = "baohws@foxmail.com",
             comment = c(ORCID = "0000-0003-3043-710X")))
Maintainer: Han Wu Shuang Bao <baohws@foxmail.com>
Description: The Directed Prediction Index ('DPI') is a causal
        discovery method for observational data designed to quantify
        the relative endogeneity of outcome (Y) versus predictor (X)
        variables in regression models. By comparing the coefficients
        of determination (R-squared) between the Y-as-outcome and
        X-as-outcome models while controlling for sufficient
        confounders and simulating k random covariates, it can quantify
        relative endogeneity, providing a necessary but insufficient
        condition for causal direction from a less endogenous variable
        (X) to a more endogenous variable (Y). Methodological details
        are provided at <https://psychbruce.github.io/DPI/>. This
        package also includes functions for data simulation and network
        analysis (correlation, partial correlation, and Bayesian
        Networks).
License: GPL-3
Encoding: UTF-8
URL: https://psychbruce.github.io/DPI/
BugReports: https://github.com/psychbruce/DPI/issues
Depends: R (>= 4.0.0)
Imports: glue, crayon, cli, ggplot2, cowplot, qgraph, bnlearn, MASS
Suggests: bruceR, aplot, bayestestR
RoxygenNote: 7.3.3
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libjpeg-dev
        libpng-dev libuv1-dev libxml2-dev
Repository: https://psychbruce.r-universe.dev
Date/Publication: 2026-02-26 08:50:28 UTC
RemoteUrl: https://github.com/psychbruce/dpi
RemoteRef: HEAD
RemoteSha: ded5a3244992f8455f7669aaa91a8d4342fa9b85
NeedsCompilation: no
Packaged: 2026-07-03 14:54:17 UTC; root
Author: Han Wu Shuang Bao [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3043-710X>)