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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.