Two tests for the well-specification of the linear instrumental
    variable model. The first test is based on trying to predict the residuals of a
    two-stage least-squares regression using a random forest. The second test is robust
    to weak-identification and based on trying to predict the residuals for a particular
    candidate parameter and can also be used to construct confidence sets with an
    Anderson-Rubin-type inversion. Details can be found in Scheidegger, Londschien
    and Bühlmann (2025) "Machine-learning-powered specification testing in linear
    instrumental variable models" <doi:10.48550/arXiv.2506.12771>.

Utilities for R package development including NEWS.md
    management, standalone file creation, and code formatting. Supports
    popular development workflows and integrates with 'usethis' and
    'RStudio'. Includes helper functions for renaming functions and
    detecting common coding errors.

Provides functionality to prepare data and analyze plausibility of both forecasted and reported epidemiological signals. The functions implement a set of plausibility algorithms that are agnostic to geographic and time resolutions and are calculated independently then presented as a combined score.

Placental epigenetic clock to estimate aging based on gestational age using DNA methylation levels, so called placental epigenetic clock (PlEC). We developed a PlEC for the 2024 Placental Clock DREAM Challenge (<https://www.synapse.org/Synapse:syn59520082/wiki/628063>). Our PlEC achieved the top performance based on an independent test set. PlEC can be used to identify accelerated/decelerated aging of placenta for understanding placental dysfunction-related conditions, e.g., great obstetrical syndromes including preeclampsia, fetal growth restriction, preterm labor, preterm premature rupture of the membranes, late spontaneous abortion, and placental abruption. Detailed methodologies and examples are documented in our vignette, available at <https://herdiantrisufriyana.github.io/rplec/doc/placental_aging_analysis.html>.