Implements an iterative mean-variance panel regression estimator
    that allows both the mean and variance of the dependent variable to be 
    functions of covariates. The method alternates between estimating a mean 
    equation (using generalized linear models with Gaussian family) and a 
    variance equation (using generalized linear models with Gamma family on 
    squared within-group residuals) until convergence. Based on the methodology 
    in Mooi-Reci and Liao (2025) <doi:10.1093/esr/jcae052>.

This is a collection of some useful functions when dealing with text data. 
    Currently it only contains a very efficient function of decoding HTML entities
    in character vectors by 'Rcpp' routine.

Calculates a number of valuation adjustments including CVA, DVA,
    FBA, FCA, MVA and KVA. A two-way margin agreement has been implemented. For
    the KVA calculation four regulatory frameworks are supported: CEM, (simplified) SA-CCR, OEM
	and IMM. The probability of default is implied through the credit spreads curve.
    The package supports an exposure calculation based on SA-CCR which includes several trade types
    and a simulated path which is currently available only for Interest Rate Swaps. The latest regulatory capital charge methodologies
    have been implementing including BA-CVA & SA-CVA.

Provides tools for reading, parsing and visualizing simulation data stored in 'xvg'/'xpm' file
  formats (commonly generated by 'GROMACS' molecular dynamics software). Streamlines post-processing
  and analysis of molecular dynamics ('MD') simulation outputs, enabling efficient exploration of
  molecular stability and conformational changes. Supports import of trajectory metrics ('RMSD',
  energy, temperature) and creation of publication-ready visualizations through integration with
  'ggplot2'.

Extrema-weighted feature extraction for varying length functional data. Functional data analysis method that performs dimensionality reduction based on predefined features and allows for quantile weighting. Method implemented as presented in van den Boom et al. (2018) <doi:10.1093/bioinformatics/bty120>.