A native 'R' client library for querying the 'Prometheus' 
    time-series database, using the 'PromQL' query language.

Carrying out inferences about any linear combination of proportions and the ratio of two proportions.

Propagation of uncertainty using higher-order Taylor expansion and Monte Carlo simulation. Calculations of propagated uncertainties are based on matrix calculus including covariance structure according to Arras 1998 <doi:10.3929/ethz-a-010113668> (first order), Wang & Iyer 2005 <doi:10.1088/0026-1394/42/5/011> (second order) and BIPM Supplement 1 (Monte Carlo) <doi:10.59161/JCGM101-2008>.

Computes two-sample confidence intervals for single, paired and independent proportions.

Implementation of propensity clustering and
        decomposition as described in Ranola et al. (2013) <doi:10.1186/1752-0509-7-21>. 
        Propensity decomposition can be viewed on the
        one hand as a generalization of the eigenvector-based
        approximation of correlation networks, and on the other hand as
        a generalization of random multigraph models and
        conformity-based decompositions.

The Prognostic Regression Offsets with Propagation of
    ERrors (for Treatment Effect Estimation) package facilitates
    direct adjustment for experiments and observational studies that
    is compatible with a range of study designs and covariance
    adjustment strategies. It uses explicit specification of clusters,
    blocks and treatment allocations to furnish probability of
    assignment-based weights targeting any of several average
    treatment effect parameters, and for standard error calculations
    reflecting these design parameters. For covariance adjustment of
    its Hajek and (one-way) fixed effects estimates, it enables
    offsetting the outcome against predictions from a dedicated
    covariance model, with standard error calculations propagating
    error as appropriate from the covariance model.

Allows to parse 'Java' properties files in the context of
  'R Service Bus' applications.