A financial calculator that provides very fast implementations
    of common financial indicators using 'Rust' code. It includes functions for
    bond-related indicators, such as yield to maturity ('YTM'), modified duration,
    and Macaulay duration, as well as functions for calculating time-weighted
    and money-weighted rates of return (using 'Modified Dietz' method) for multiple portfolios,
    given their market values and profit and loss ('PnL') data. 'fcl' is designed
    to be efficient and accurate for financial analysis and computation. The methods
    used in this package are based on the following references:
    <https://en.wikipedia.org/wiki/Modified_Dietz_method>,
    <https://en.wikipedia.org/wiki/Time-weighted_return>.

Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visualizing fuzzy clustering results.

Provides a selection of 3 different inference rules (including additionally the clamped types of the referred inference rules) and 4 threshold functions in order to obtain the inference of the FCM (Fuzzy Cognitive Map). Moreover, the 'fcm' package returns a data frame of the concepts' values of each state after the inference procedure. Fuzzy cognitive maps were introduced by Kosko (1986) <doi:10.1002/int.4550010405> providing ideal causal cognition tools for modeling and simulating dynamic systems.

A toolbox to derive flexible cutoffs for fit indices in
    'Covariance-based Structural Equation Modeling' based on the paper by
    'Niemand & Mai (2018)' <doi:10.1007/s11747-018-0602-9>. Flexible
    cutoffs are an alternative to fixed cutoffs - rules-of-thumb -
    regarding an appropriate cutoff for fit indices such as 'CFI' or
    'SRMR'. It has been demonstrated that these flexible cutoffs perform
    better than fixed cutoffs in grey areas where misspecification is not
    easy to detect. The package provides an alternative to the tool at
    <https://flexiblecutoffs.org> as it allows to tailor flexible cutoffs
    to a given dataset and model, which is so far not available in the
    tool. The package simulates fit indices based on a given dataset and
    model and then estimates the flexible cutoffs. Some useful functions,
    e.g., to determine the 'GoF-' or 'BoF-nature' of a fit index, are
    provided. So far, additional options for a relative use (is a model
    better than another?) are provided in an exploratory manner.