Streamlines the interaction with the 'RCSB' Protein Data Bank ('PDB') <https://www.rcsb.org/>. This interface offers an intuitive and 
            powerful tool for searching and retrieving a diverse range of data types from the 'PDB'. It includes advanced functionalities like 
            BLAST and sequence motif queries. Built upon the existing XML-based API of the 'PDB', it simplifies the creation of custom requests, 
            thereby enhancing usability and flexibility for researchers.

Performs multinomial goodness-of-fit test on multinomially distributed data using the Randomized phi-divergence test statistics. Details of this kind of statistics can be found at Nikita Puchkin, Vladimir Ulyanov (2023) <doi:10.1214/22-AIHP1299>.

The quantitative measurement and detection of molecules in HPLC should be carried out by an accurate description of chromatographic peaks. In this package non-linear fitting using a modified Gaussian model with a parabolic variance (PVMG) has been implemented to obtain the retention time and height at the peak maximum. This package also includes the traditional Van Deemter approach and two alternatives approaches to characterize chromatographic column.

Implements the fast iterative shrinkage-thresholding algorithm
             (FISTA) algorithm to fit a Gamma distribution with an elastic net 
             penalty as described in Chen, Arakvin and Martin (2018) 
             <doi:10.48550/arXiv.1804.07780>. An implementation for the case of the 
             exponential distribution is also available, with details available 
             in Chen and Martin (2018) <doi:10.2139/ssrn.3085672>.

Computes the influence functions time series of the returns for the risk and 
             performance measures as mentioned in Chen and Martin (2018) 
             <https://www.ssrn.com/abstract=3085672>, as well as in Zhang et al. (2019)
             <https://www.ssrn.com/abstract=3415903>. Also evaluates estimators influence
             functions at a set of parameter values and plots them to display the shapes of 
             the influence functions.