The Chinese ID number contains a lot of information,
    this package helps you get the region, date of birth, age,
    age based on year, gender, zodiac, constellation information from
    the Chinese ID number.

Implementations of recent complex-valued wavelet shrinkage procedures for smoothing irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.

Implementations of recent complex-valued wavelet spectral procedures for analysis of irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.

According to the codes and names of county-level and above administrative divisions released in 2022 by the Ministry of Civil Affairs of the People's Republic of China, the online vector map files were retrieved from the website (available at: <http://datav.aliyun.com/portal/school/atlas/area_selector>). This study was supported by the National Natural Science Foundation of China (NSFC, Grant No. 42205177).

Generates continuous test norms in 
     psychometrics and biometrics, and analyzing model fit. The package offers 
     both distribution-free modeling using Taylor polynomials and parametric 
     modeling using the beta-binomial and the 'Sinh-Arcsinh' distribution. 
     Originally developed for achievement tests, it is applicable to a wide 
     range of mental, physical, or other test scores dependent on continuous or 
     discrete explanatory variables. The package provides several advantages: 
     It minimizes deviations from representativeness in subsamples, interpolates 
     between discrete levels of explanatory variables, and significantly reduces 
     the required sample size compared to conventional norming per age group. 
     cNORM enables graphical and analytical evaluation of model fit, 
     accommodates a wide range of scales including those with negative and 
     descending values, and as well supports conventional norming. It generates 
     norm tables including confidence intervals. Methods for addressing 
     representativeness issues are available through Iterative Proportional 
     Fitting.  Based on Lenhard et al. (2016) 
    <doi:10.1177/1073191116656437>, Lenhard et al. (2019) 
    <doi:10.1371/journal.pone.0222279>, Lenhard and Lenhard (2021) 
    <doi:10.1177/0013164420928457> and Gary et al. (2023) 
    <doi:10.1007/s00181-023-02456-0>.