Machine Learning and Judgement (mnj)
Perform FlexBoost in R. FlexBoost is a newly suggested algorithm based on AdaBoost by adjusting adaptive loss functions. Not only FlexBoost but also other machine learning algorithms (e.g. Support Vector Machines) will be added. For more details on FlexBoost see Jeon, Y. S., Yang, D. H., & Lim, D. J. (2019) <doi:10.1109/access.2019.2938356>.

Download and Manage Optional Package Data (pkgfilecache)
Manage optional data for your package. The data can be hosted anywhere, and you have to give a Uniform Resource Locator (URL) for each file. File integrity checks are supported. This is useful for package authors who need to ship more than the 5 Megabyte of data currently allowed by the the Comprehensive R Archive Network (CRAN).

Utilities for Fundamental Geo-Spatial Data (fgdr)
Read and Parse for Fundamental Geo-Spatial Data (FGD) which downloads XML file from providing site (<https://…/menu.php> ). The JPGIS format file provided by FGD so that it can be handled as an R spatial object such as ‘sf’ and ‘raster’ or ‘stars’. Supports the FGD version 4.1, and accepts fundamental items and digital elevation models.

Tree Structured Hidden Markov Model (treeHMM)
Used for Inference, Prediction and Parameter learning for tree structured Hidden Markov Model. The package propose a new architecture of Hidden Markov Model(HMM) known as Tree Structured HMM which could be used in various applications which involves graphs, trees etc.

Read and Write ‘Excel’ Sheets into and from List of Data Frames (xlsx2dfs)
Reading and writing sheets of a single ‘Excel’ file into and from a list of data frames. Eases I/O of tabular data in bioinformatics while keeping them in a human readable format.