@article{MAKHILLPJSS2011837561,
    title = {Bayesian Regression Analysis Using S-PLUS and R Softwares},
    journal = {Pakistan Journal of Social Sciences},
    volume = {8},
    number = {3},
    pages = {125-131},
    year = {2011},
    issn = {1683-8831},
    doi = {pjssci.2011.125.131},
    url = {https://makhillpublications.co/view-article.php?issn=1683-8831&doi=pjssci.2011.125.131},
    author = {S.P.,A. and},
    keywords = {Kashmir,R softwares,S-PLUS,variable,logistic model,Bayesian regression},
    abstract = {This study is devoted to the Bayesian regression analysis. It contains an extended version of normal theory regression models which includes extreme-value, logistic and normal regression models as its particular cases. Methods proposed in this study are illustrated numerically, i.e., regression coefficient of pH on EC (Electrical Conductivity) of soil data is analyzed numerically in S-PLUS and R softwares.}
    }