Provides an interface to the Instagram API <https://instagram.com/
    developer/>, which allows R users to download public pictures filtered by
    hashtag, popularity, user or location, and to access public users' profile data.

Calculates insulin secretion rates from C-peptide values
    based on the methods described in Van Cauter et al. (1992)
    <doi:10.2337/diab.41.3.368>. Includes functions to calculate estimated
    insulin secretion rates using linear or cubic spline interpolation of
    c-peptide values (see Eaton et al., 1980 <doi:10.1210/jcem-51-3-520>
    and Polonsky et al., 1986 <doi:10.1172/JCI112308>) and to calculate
    estimates of input coefficients (volume of distribution, short half life,
    long half life, and fraction attributed to short half life) as described by
    Van Cauter. Although the generated coefficients are specific to insulin
    secretion, the two-compartment secretion model used here is useful for
    certain applications beyond insulin.

Insurance datasets, which are often used in claims severity and claims frequency modelling. It helps testing new regression models in those problems, such as GLM, GLMM, HGLM, non-linear mixed models etc. Most of the data sets are applied in the project "Mixed models in ratemaking" supported by grant NN 111461540 from Polish National Science Center.

Functions to build, evaluate, and visualize insurance rating 
    models. It simplifies the process of modeling premiums, and allows to 
    analyze insurance risk factors effectively. The package employs a 
    data-driven strategy for constructing insurance tariff classes, drawing on 
    the work of Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>.

It facilitates the calculation of 40 different insulin sensitivity indices based on fasting, oral glucose tolerance test (OGTT), lipid (adipose), and tracer (palmitate and glycerol rate) and dxa (fat mass) measurement values. It enables easy and accurate assessment of insulin sensitivity, critical for understanding and managing metabolic disorders like diabetes and obesity. Indices calculated are described in Gastaldelli (2022). <doi:10.1002/oby.23503> and Lorenzo (2010). <doi:10.1210/jc.2010-1144>.