Variable selection deviation (VSD) measures and instability tests for high-dimensional model selection methods such as LASSO, SCAD and MCP, etc., to decide whether the sparse patterns identified by those methods are reliable.

Extended techniques for generalized linear models (GLMs), especially for binary responses,
             including parametric links and heteroscedastic latent variables.

Provides diagnostic graphic tools for GLMs, beta-binomial regression model (estimated by 'VGAM' package), beta regression model (estimated by 'betareg' package) and negative binomial regression model (estimated by 'MASS' package). Since most of functions implemented in 'glmxdiag' already exist in other packages, the aim is to provide the user unique functions that work on almost all regression models previously specified. Details about some of the implemented functions can be found in Brown (1992) <doi:10.2307/2347617>, Dunn and Smyth (1996) <doi:10.2307/1390802>, O'Hara Hines and Carter (1993) <doi:10.2307/2347405>, Wang (1985) <doi:10.2307/1269708>.

Second-order summary statistics K- and pair-correlation functions describe
    interactions in point pattern data. This package provides computations to estimate those
    statistics on inhomogeneous point processes, using the methods of
    in T Shaw, J Møller, R Waagepetersen, 2020 <doi:10.48550/arXiv.2004.00527>.

It provides more configurations on the option values such as validation
    and filtering on the values, making options invisible or private.

This package makes available 50 objective functions for benchmarking the performance of global optimization algorithms

Identifies global ("unknown" or "free") objects in R expressions
    by code inspection using various strategies (ordered, liberal, or
    conservative).  The objective of this package is to make it as simple as
    possible to identify global objects for the purpose of exporting them in
    parallel, distributed compute environments.

Google offers public access to global search volumes from its
    search engine through the Google Trends portal. The package downloads
    these search volumes provided by Google Trends and uses them to
    measure and analyze the distribution of search scores across countries
    or within countries. The package allows researchers and analysts to
    use these search scores to investigate global trends based on patterns
    within these scores. This offers insights such as degree of
    internationalization of firms and organizations or dissemination of
    political, social, or technological trends across the globe or within
    single countries.  An outline of the package's methodological
    foundations and potential applications is available as a working
    paper: <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3969013>.