Provides tools for denoising noisy signal and images via
    Total Variation Regularization. Reducing the total variation of
    the given signal is known to remove spurious detail while preserving
    essential structural details. For the seminal work on the topic,
    see Rudin et al (1992) <doi:10.1016/0167-2789(92)90242-F>.

Fitting time-varying coefficient models for single and multi-equation regressions, using kernel smoothing techniques.

Longitudinal data offers insights into population changes over
 time but often requires a flexible structure, especially with varying
 follow-up intervals. Panel data is one way to store such records, though
 it adds complexity to analysis. The 'tvtools' package for R simplifies
 exploring and analyzing panel data.

Provides functions for propensity score
        estimating and weighting, nonresponse weighting, and diagnosis
        of the weights.

Provides functions for propensity score
        estimation and weighting for continuous exposures as described in Zhu, Y., 
        Coffman, D. L., & Ghosh, D. (2015). A boosting algorithm for
        estimating generalized propensity scores with continuous treatments.
        Journal of Causal Inference, 3(1), 25-40. <doi:10.1515/jci-2014-0022>.

Provides functions for estimating natural direct and indirect effects for mediation analysis. It uses weighting where the weights are functions of estimates of the probability of exposure or treatment assignment (Hong, G (2010). <https://cepa.stanford.edu/sites/default/files/workshops/GH_JSM%20Proceedings%202010.pdf> Huber, M. (2014). <doi:10.1002/jae.2341>). Estimation of probabilities can use generalized boosting or logistic regression. Additional functions provide diagnostics of the model fit and weights. The vignette provides details and examples.

High-performance parsing of 'Tableau' workbook files into
    tidy data frames and dependency graphs for other visualization tools
    like R 'Shiny' or 'Power BI' replication.

An open-access tool/framework that constitutes the core functions
  to analyze terrestrial water cycle data across various spatio-temporal scales.