An R Package Implementation for Statistical Modeling of Emergence Curves in Weed Science

Proceedings

Cao, Ricardo¹  Barreiro-Ures, Daniel²  Francisco-Fernández, Mario³ 

[1] Author to whom correspondence should be addressed.;Department of Mathematics, Faculty of Computer Science, University of A Coruña, 15008 A Coruña, Spain;These authors contributed equally to this work.

关键词: binned data;    nonparametric;    kernel density;    kernel distribution;    b;    width selection;   

DOI  :  10.3390/proceedings2181165

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

Over the last few years, the research group MODES has carried out a research line (in collaboration with researchers from the Sustainable Agriculture Institute of the CSIC in Córdoba) on statistical modeling in weed science. One of the aspects dealt with in this line is that of the estimation of the so-called emergence curves from data obtained from field studies. In this context, new indices have been developed for hydrothermal times, new nonparametric methods have been proposed, which have been compared with other existing parametric methods and applied to relevant pests. In this context, the objective pursued was the development of an R package that can be useful for the statistical analysis of weed science data and, in particular, for the estimation of emergence curves. Currently, the package is available in the CRAN and it is intended to become a standard of use among the research community in weed science.

【 授权许可】

CC BY