Total Operating Characteristic Curve and ROC Curve (TOC)
Construction of the Total Operating Characteristic (TOC) Curve and the Receiver (aka Relative) Operating Characteristic (ROC) Curve for spatial and non-spatial data. The TOC method is a modification of the ROC method which measures the ability of an index variable to diagnose either presence or absence of a characteristic. The diagnosis depends on whether the value of an index variable is above a threshold. Each threshold generates a two-by-two contingency table, which contains four entries: hits (H), misses (M), false alarms (FA), and correct rejections (CR). While ROC shows for each threshold only two ratios, H/(H + M) and FA/(FA + CR), TOC reveals the size of every entry in the contingency table for each threshold (Pontius Jr., R.G., Si, K. 2014. The total operating characteristic to measure diagnostic ability for multiple thresholds. Int. J. Geogr. Inf. Sci. 28 (3), 570-583).
Extended Empirical Likelihood (eel)
Compute the extended empirical log likelihood ratio (Tsao & Wu, 2014) for the mean and parameters defined by estimating equations.
Extract Tables from Microsoft Word Documents with R (docxtractr)
docxtractr is an R pacakge for extracting tables out of Word documents (docx) Microsoft Word docx files provide an XML structure that is fairly straightforward to navigate, especially when it applies to Word tables. The docxtractr package provides tools to determine table count, table structure and extract tables from Microsoft Word docx documents.