Please check the latest news (change log) and keep this package updated.
This version contains breaking changes to both algorithm and functionality.
DPI() algorithm to limit \(\text{DPI} \in (-1, 1)\) and also
simplified its output information. \[
\begin{aligned}
\text{DPI}_{X \rightarrow Y}
& = \text{Direction}_{X \rightarrow Y} \cdot \text{Strength}_{XY} \\
& = \text{Delta}(R^2) \cdot \text{Sigmoid}(\frac{p}{\alpha}) \\
& = \left( R_{Y \sim X + Covs}^2 - R_{X \sim Y + Covs}^2 \right)
\cdot \left( 1 - \tanh \frac{p_{XY|Covs}}{2\alpha} \right) \\
& \in (-1, 1)
\end{aligned}
\]data_random() to sim_data() with
enhanced functionality that supports data simulation from a multivariate
normal distribution, using MASS::mvrnorm().sim_data_exp(): Simulate experiment-like data
with independent binary Xs.gc() in DPI(),
DPI_curve(), and dag_network() for memory
garbage collection.dag_network() for
arranging multiple base-R-style plots using
aplot::plot_list().dag_network(): Directed acyclic graphs (DAGs) via
causal Bayesian networks (BNs).cor_network(): Correlation and partial
correlation networks.S3method.dpi and S3method.network and made
them as internal topics.