We provide a stage-wise selection method using genetic algorithms, designed to efficiently identify main and two-way interactions within high-dimensional linear regression models. Additionally, it implements simulated annealing algorithm during the mutation process. The relevant paper can be found at: Ye, C.,and Yang,Y. (2019) <doi:10.1109/TIT.2019.2913417>.

Enhance package 'testthat' by allowing tests to be attached to the function/object they test. 
    This allows to keep functional and unit test code together.

Estimate parameters of the hysteretic threshold autoregressive
    (HysTAR) model, using conditional least squares.
    In addition, you can generate time series data from the HysTAR model.
    For details, see Li, Guan, Li and Yu (2015) <doi:10.1093/biomet/asv017>.

Fit, summarize and plot sinusoidal hysteretic processes using:
    two-step simple harmonic least squares, ellipse-specific non-linear least
    squares, the direct method, geometric least squares or linear least squares. See 
    Yang, F and A. Parkhurst, "Efficient Estimation of Elliptical Hysteresis with 
    Application to the Characterization of Heat Stress" <DOI:10.1007/s13253-015-0213-6>.

An R API wrapper for the 'Hystreet' project <https://hystreet.com>. 'Hystreet' provides pedestrian counts in different cities in Germany.

Error type I and Optimal critical values to test statistical hypothesis based on Neyman-Pearson Lemma and Likelihood ratio test 
    based on random samples from several distributions. The families of distributions are Bernoulli, Exponential, Geometric, Normal, Gamma, Lognormal, and Poisson.
    This package is an ideal resource to help with the teaching of Statistics.
    The main references for this package are Casella G. and Berger R. (2003,ISBN:0-534-24312-6 , "Statistical Inference. Second Edition", Duxbury Press) and 
    Hogg, R., McKean, J., and Craig, A. (2019,ISBN:013468699, "Introduction to Mathematical Statistic. Eighth edition", Pearson).

Up-to-date data from the 'Unicode CLDR Project' (where 'CLDR'
    stands for 'Common Locale Data Repository') are available here as a series
    of easy-to-parse datasets. Several functions are provided for extracting
    key elements from the tabular datasets.