Consider autoregressive model of order p where the distribution function of innovation is unknown, but innovations are independent and symmetrically distributed. The package contains a function named ARMDE which takes X (vector of n observations) and p (order of the model) as input argument and returns minimum distance estimator of the parameters in the model.

A novel interpretable machine learning-based framework to automate the development of a clinical scoring model for predefined outcomes. Our novel framework consists of six modules: variable ranking with machine learning, variable transformation, score derivation, model selection, domain knowledge-based score fine-tuning, and performance evaluation.The details are described in our research paper<doi:10.2196/21798>. Users or clinicians could seamlessly generate parsimonious sparse-score risk models (i.e., risk scores), which can be easily implemented and validated in clinical practice. We hope to see its application in various medical case studies.

Provides an efficient suite of R tools for scorecard modeling, analysis, and visualization. 
    Including equal frequency binning, equidistant binning, 
    K-means binning, chi-square binning, decision tree binning, data screening, manual parameter modeling, 
    fully automatic generation of scorecards, etc. 
    This package is designed to make scorecard development easier and faster.
    References include:
    1. <http://shichen.name/posts/>. 
    2. Dong-feng Li(Peking University),Class PPT.
    3. <https://zhuanlan.zhihu.com/p/389710022>. 
    4. <https://www.zhangshengrong.com/p/281oqR9JNw/>.

For researchers to quickly and comprehensively acquire disease genes, so as to understand the mechanism of disease,
  we developed this program to acquire disease-related genes.
  The data is integrated from three public databases. The three databases are 'eDGAR', 'DrugBank'
  and 'MalaCards'. The 'eDGAR' is a comprehensive database, containing data on the relationship between disease and genes.
  'DrugBank' contains information on 13443 drugs and 5157 targets. 'MalaCards' integrates human disease information, including disease-related genes.