The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

The following is a reference to the package. Please also cite the original paper in which the method was developed, which is given below.

To cite FKSUM in publications use:

Hofmeyr DP (2022). “Fast Kernel Smoothing in R with Applications to Projection Pursuit.” Journal of Statistical Software, 101(3), 1–33. doi:10.18637/jss.v101.i03.

To cite the original method in publications use:

Hofmeyr DP (2021). “Fast Exact Evaluation of Univariate Kernel Sums.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(2), 447-458. doi:10.1109/TPAMI.2019.2930501.

To get Bibtex entries use: x<-citation("FKSUM"); toBibtex(x)

Corresponding BibTeX entries:

  @Article{,
    title = {Fast Kernel Smoothing in {R} with Applications to
      Projection Pursuit},
    author = {David P. Hofmeyr},
    journal = {Journal of Statistical Software},
    year = {2022},
    volume = {101},
    number = {3},
    pages = {1--33},
    doi = {10.18637/jss.v101.i03},
  }
  @Article{,
    author = {David P. Hofmeyr},
    journal = {IEEE Transactions on Pattern Analysis and Machine
      Intelligence},
    title = {Fast Exact Evaluation of Univariate Kernel Sums},
    year = {2021},
    volume = {43},
    number = {2},
    pages = {447-458},
    doi = {10.1109/TPAMI.2019.2930501},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.