Download imagery tiles to a standard cache and load the data into raster objects. 
 Facilities for 'AWS' terrain <https://registry.opendata.aws/terrain-tiles/> terrain and 'Mapbox' 
 <https://www.mapbox.com/> servers are provided.

Estimates sugar beet canopy closure with remotely sensed leaf area
    index and estimates when action might be needed to protect the crop from a 
    Leaf Spot epidemic with a negative prognosis model based on published 
    models.

The 'vctrs' package provides a concept of vector prototype
    that can be especially useful when deploying models and code.  Serialize 
    these object prototypes to 'JSON' so they can be used to check and coerce 
    data in production systems, and deserialize 'JSON' back to the correct 
    object prototypes.

Fits a Causal Effect Random Forest of Interaction Trees (CERFIT) which is a modification of the Random Forest algorithm where each split is chosen to maximize subgroup treatment heterogeneity. Doing this allows it to estimate the individualized treatment effect for each observation in either randomized controlled trial (RCT) or observational data. For more information see L. Li, R. A. Levine, and J. Fan (2022) <doi:10.1002/sta4.457>.

Implements the iterated RMCD method of Cerioli (2010)
	for multivariate outlier detection via robust Mahalanobis distances. Also
	provides the finite-sample RMCD method discussed in the paper, as well as 
	the methods provided in Hardin and Rocke (2005) <doi:10.1198/106186005X77685> 
	and Green and Martin (2017) <https://christopherggreen.github.io/papers/hr05_extension.pdf>.
	See also Chapter 2 of Green (2017) <https://digital.lib.washington.edu/researchworks/handle/1773/40304>.

Provides several functions to identify and analyse miRNA sponge, including
             popular methods for identifying miRNA sponge interactions, two types 
             of global ceRNA regulation prediction methods and four types of context-specific 
             prediction methods( Li Y et al.(2017) <doi:10.1093/bib/bbx137>), which are based 
             on miRNA-messenger RNA regulation alone, or by integrating heterogeneous data, 
             respectively. In addition, For predictive ceRNA relationship pairs, this package 
             provides several downstream analysis algorithms, including regulatory network 
             analysis and functional annotation analysis, as well as survival prognosis analysis
             based on expression of ceRNA ternary pair.