Find the location of the code for an R package based on the package's name or string representation.
    Checks on 'CRAN' based on information in the 'URL' field or 'BioConductor' and 'GitHub' based on constructing 
    a URL, and verifies all paths via testing for a successful response. This can be useful when automating static 
    code analysis based on a list of package names, and similar tasks.

Predicts 3 to 12 months prognosis in Chronic Obstructive Pulmonary Disease (COPD) patients hospitalized for severe exacerbations, as described in Almagro et al. (2014) <doi:10.1378/chest.13-1328>.

Proposes Seq2seq Time-Feature Analysis using an Encoder-Decoder to project into latent space and a Forward Network to predict the next sequence.

Augment clinical data with metadata to create
    output used in conventional publications and reports.

Categorize links and nodes from multiple networks in 3 categories: Common links (alpha) specific links (gamma), and different links (beta). Also categorizes the links into sub-categories and groups. The package includes a visualization tool for the networks. More information about the methodology can be found at: Gysi et. al., 2018 <arXiv:1802.00828>.

A collection of coding functions as alternatives to the standard
    functions in the stats package, which have names starting with 'contr.'.  Their
    main advantage is that they provide a consistent method for defining marginal
    effects in factorial models.  In a simple one-way ANOVA model the
    intercept term is always the simple average of the class means.

Univariate and multivariate temporal and spatial diversity indices, 
    rank abundance curves, and community stability measures. The functions 
    implement measures that are either explicitly temporal and include the 
    option to calculate them over multiple replicates, or spatial and include 
    the option to calculate them over multiple time points. Functions fall into 
    five categories: static diversity indices, temporal diversity indices, 
    spatial diversity indices, rank abundance curves, and community stability 
    measures. The diversity indices are temporal and spatial analogs to 
    traditional diversity indices. Specifically, the package includes functions 
    to calculate community richness, evenness and diversity at a given point in 
    space and time. In addition, it contains functions to calculate species 
    turnover, mean rank shifts, and lags in community similarity between two 
    time points. Details of the methods are available in
    Hallett et al. (2016) <doi:10.1111/2041-210X.12569> and Avolio 
    et al. (2019) <doi:10.1002/ecs2.2881>.