Efficient implementations for Sorted L-One Penalized Estimation
    (SLOPE): generalized linear models regularized with the sorted L1-norm
    (Bogdan et al. 2015). Supported models include
    ordinary least-squares regression, binomial regression, multinomial
    regression, and Poisson regression. Both dense and sparse  predictor
    matrices are supported. In addition, the package features predictor
    screening rules that enable fast and efficient solutions to high-dimensional
    problems.

Calculates the slope (longitudinal gradient or steepness)
  of linear geographic features such as roads (for more details, see Ariza-López et al. (2019) 
  <doi:10.1038/s41597-019-0147-x>) and rivers (for more details, see Cohen et al. (2018) 
  <doi:10.1016/j.jhydrol.2018.06.066>). It can use local Digital Elevation Model (DEM) 
  data or download DEM data via the 'ceramic' package. The package also provides functions 
  to add elevation data to linestrings and visualize elevation profiles.

Provides tools for predicting ICU length of stay and assessing ICU efficiency. 
  It is based on the methodologies proposed by Peres et al. (2022, 2023), which utilize data-driven approaches for modeling and validation, offering insights into ICU performance and patient outcomes. References: Peres et al. (2022)<https://pubmed.ncbi.nlm.nih.gov/35988701/>, Peres et al. (2023)<https://pubmed.ncbi.nlm.nih.gov/37922007/>. 
  More information: <https://github.com/igor-peres/ICU-Length-of-Stay-Prediction>.

Catch advice for data-limited vertebrate and invertebrate 
    fisheries managed by harvest slot limits using the SlotLim harvest 
    control rule. The package accompanies the manuscript "SlotLim: catch advice 
    for data-limited vertebrate and invertebrate fisheries managed by harvest 
    slot limits" (Pritchard et al., in prep). Minimum data requirements: at 
    least two consecutive years of catch data, length–frequency distributions, 
    and biomass or abundance indices (all from fishery-dependent sources); 
    species-specific growth rate parameters (either von Bertalanffy, Gompertz, 
    or Schnute); and either the natural mortality rate ('M') or the maximum 
    observed age ('tmax'), from which M is estimated. The following functions 
    have optional plotting capabilities that require 'ggplot2' installed: 
    prop_target(), TBA(), SAM(), catch_advice(), catch_adjust(), and 
    slotlim_once().