An R implementation of methods employed in the field of pedometrics, soil science
    discipline dedicated to studying the spatial, temporal, and spatio-temporal variation of soil
    using statistical and computational methods. The methods found here include the calibration of
    linear regression models using covariate selection strategies, computation of summary validation
    statistics for predictions, generation of summary plots, evaluation of the local quality of a
    geostatistical model of uncertainty, and so on. Other functions simply extend the
    functionalities of or facilitate the usage of functions from other packages that are commonly
    used for the analysis of soil data. Formerly available versions of suggested packages no longer
    available from CRAN can be obtained from the CRAN archive
    <https://cran.r-project.org/src/contrib/Archive/>.

An implementation of the Elston-Stewart algorithm for
    calculating pedigree likelihoods given genetic marker data (Elston and
    Stewart (1971) <doi:10.1159/000152448>). The standard algorithm is
    extended to allow inbred founders. 'pedprobr' is part of the 'ped
    suite', a collection of packages for pedigree analysis in R. In
    particular, 'pedprobr' depends on 'pedtools' for pedigree
    manipulations and 'pedmut' for mutation modelling. For more
    information, see 'Pedigree Analysis in R' (Vigeland, 2021,
    ISBN:9780128244302).

Provides an interface to access public economic and financial data for 
    economic research and quantitative analysis. The data sources including 
    NBS, FRED, Sina, Eastmoney and etc. It also provides quantitative 
    functions for trading strategies based on the 'data.table', 'TTR', 
    'PerformanceAnalytics' and etc packages.

Simulate pedigree, genetic merits and phenotypes with random/non-random matings followed by random/non-random selection with different intensities and patterns in males and females. Genotypes can be simulated for a given pedigree, or an appended pedigree to an existing pedigree with genotypes.
   Mrode, R. A. (2005) <ISBN:9780851989969, 0851989969>;
   Nilforooshan, M.A. (2022) <doi:10.37496/rbz5120210131>.