A 'Shiny' application for calculating phytosanitary inspection plans based on risks.

Most price indexes are made with a two-step procedure, where
    period-over-period elemental indexes are first calculated for a collection
    of elemental aggregates at each point in time, and then aggregated according
    to a price index aggregation structure. These indexes can then be chained
    together to form a time series that gives the evolution of prices with
    respect to a fixed base period. This package contains a collections of
    functions that revolve around this work flow, making it easy to build
    standard price indexes, and implement the methods described by
    Balk (2008, ISBN:978-1-107-40496-0), von der Lippe (2001,
    ISBN:3-8246-0638-0), and the CPI manual (2020, ISBN:978-1-51354-298-0)
    for bilateral price indexes.

Functions for phylocom integration, community analyses, null-models, traits and evolution. Implements numerous ecophylogenetic approaches including measures of community phylogenetic and trait diversity, phylogenetic signal, estimation of trait values for unobserved taxa, null models for community and phylogeny randomizations, and utility functions for data input/output and phylogeny plotting. A full description of package functionality and methods are provided by Kembel et al. (2010) <doi:10.1093/bioinformatics/btq166>.

Computationally efficient tools for fitting generalized linear model with convex or non-convex penalty. Users can enjoy the superior statistical property of non-convex penalty such as SCAD and MCP which has significantly less estimation error and overfitting compared to convex penalty such as lasso and ridge. Computation is handled by multi-stage convex relaxation and the PathwIse CAlibrated Sparse Shooting algOrithm (PICASSO) which exploits warm start initialization, active set updating, and strong rule for coordinate preselection to boost computation, and attains a linear convergence to a unique sparse local optimum with optimal statistical properties. The computation is memory-optimized using the sparse matrix output.