Allows production of 'Microsoft' corporate documents from 'R Markdown' by 
 reusing formatting defined in 'Microsoft Word' documents. You can reuse table styles, 
 list styles but also add column sections, landscape oriented pages. Table and image 
 captions as well as cross-references are transformed into 'Microsoft Word' fields, 
 allowing documents edition and merging without issue with references; the syntax 
 conforms to the 'bookdown' cross-reference definition. Objects generated by 
 the 'officer' package are also supported in the 'knitr' chunks. 
 'Microsoft PowerPoint' presentations also benefit from this as well as the 
 ability to produce editable vector graphics in 'PowerPoint' and also to 
 define placeholder where content is to be added.

Access and manipulate 'Microsoft Word', 'RTF' and 'Microsoft
    PowerPoint' documents from R.  The package focuses on tabular and
    graphical reporting from R; it also provides two functions that let
    users get document content into data objects. A set of functions lets
    add and remove images, tables and paragraphs of text in new or
    existing documents.  The package does not require any installation of
    Microsoft products to be able to write Microsoft files.

Detect the number and locations of change points. The locations can be either exact or in terms of ranges, 
            depending on the available computational resource. The method is based on Jie Ding, Yu Xiang, Lu Shen, Vahid Tarokh (2017) <doi:10.1109/TSP.2017.2711558>.

Extend the 'tidymodels' ecosystem <https://www.tidymodels.org/> to
    enable the creation of predictive models with offset terms. Models with 
    offsets are most useful when working with count data or when fitting an
    adjustment model on top of an existing model with a prior expectation. 
    The former situation is common in insurance where data is often weighted by
    exposures. The latter is common in life insurance where industry mortality 
    tables are often used as a starting point for setting assumptions.