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.

Offers a gene-based meta-analysis test with filtering to detect gene-environment interactions (GxE) with association data, proposed by Wang et al. (2018) <doi:10.1002/gepi.22115>. It first conducts a meta-filtering test to filter out unpromising SNPs by combining all samples in the consortia data. It then runs a test of omnibus-filtering-based GxE meta-analysis (ofGEM) that combines the strengths of the fixed- and random-effects meta-analysis with meta-filtering. It can also analyze data from multiple ethnic groups.

A comprehensive system for designing and implementing on-farm precision field agronomic trials. You provide field data, tell 'ofpetrial' how to design a trial, and get readily-usable trial design files and a report checks the validity and reliability of the trial design.