User’s guide for MapMark4—An R package for the probability calculations in three-part mineral resource assessments
June 27, 2017
MapMark4 is a software package that implements the probability calculations in three-part mineral resource assessments. Functions within the software package are written in the R statistical programming language. These functions, their documentation, and a copy of this user’s guide are bundled together in R’s unit of shareable code, which is called a “package.” This user’s guide includes step-by-step instructions showing how the functions are used to carry out the probability calculations. The calculations are demonstrated using test data, which are included in the package.
Citation Information
| Publication Year | 2017 |
|---|---|
| Title | User’s guide for MapMark4—An R package for the probability calculations in three-part mineral resource assessments |
| DOI | 10.3133/tm7C14 |
| Authors | Karl J. Ellefsen |
| Publication Type | Report |
| Publication Subtype | USGS Numbered Series |
| Series Title | Techniques and Methods |
| Series Number | 7-C14 |
| Index ID | tm7C14 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Crustal Geophysics and Geochemistry Science Center |
Related Content
MapMark4 Shiny: A self-contained implementation of the MapMark4 R package
MapMark4 Shiny is a self-contained R Shiny app designed for quantitative mineral resource assessments. The target audience consists of practitioners of the three-part mineral resource assessment methodology (Singer and Menzie, 2010). The app performs calculations needed to combine information from grade-tonnage models with estimates of undiscovered deposits within permissive tracts. The MapMark4 S
Related Content
- Software
MapMark4 Shiny: A self-contained implementation of the MapMark4 R package
MapMark4 Shiny is a self-contained R Shiny app designed for quantitative mineral resource assessments. The target audience consists of practitioners of the three-part mineral resource assessment methodology (Singer and Menzie, 2010). The app performs calculations needed to combine information from grade-tonnage models with estimates of undiscovered deposits within permissive tracts. The MapMark4 S - Connect