Provides datasets related to the Star Trek fictional universe and functions for working with the data.
The package also provides access to real world datasets based on the televised series and other related licensed media productions.
It interfaces with the Star Trek API (STAPI) (<http://stapi.co/>),
Memory Alpha (<http://memory-alpha.wikia.com/>), and Memory Beta (<http://memory-beta.wikia.com/>)
to retrieve data, metadata and other information relating to Star Trek.
It also contains several local datasets covering a variety of topics.
The package also provides functions for working with data from other Star Trek-related
R data packages containing larger datasets not stored in 'rtrek'.
testthat, knitr, rmarkdown, covr, leaflet, lintr, showtext,
sysfonts, trekfont
magrittr, dplyr, jsonlite, xml2, rvest, jpeg, purrr, ggplot2,
memoise, tibble, tidyr, downloader

testthat, knitr, rmarkdown, covr, leaflet, showtext,
sysfonts, trekfont, png

Provides datasets related to the Star Trek fictional universe and functions for working with the data.
The package also provides access to real world datasets based on the televised series and other related licensed media productions.
It interfaces with the Star Trek API (STAPI) (<http://stapi.co/>),
Memory Alpha (<https://memory-alpha.fandom.com/wiki/Portal:Main>), and Memory Beta (<https://memory-beta.fandom.com/wiki/Main_Page>)
to retrieve data, metadata and other information relating to Star Trek.
It also contains several local datasets covering a variety of topics.
The package also provides functions for working with data from other Star Trek-related
R data packages containing larger datasets not stored in 'rtrek'.

The traditional linear regression trend, Modified Mann-Kendall (MK)
non-parameter trend and bootstrap trend are included in this package. Linear
regression trend is rewritten by '.lm.fit'. MK trend is rewritten by 'Rcpp'.
Finally, those functions are about 10 times faster than previous version
in R.
Reference:
Hamed, K. H., & Rao, A. R. (1998). A modified Mann-Kendall trend test for
autocorrelated data. Journal of hydrology, 204(1-4), 182-196.
<doi:10.1016/S0022-1694(97)00125-X>.
Rcpp, fftwtools, boot, magrittr, matrixStats, ggplot2