I’m maintaining or actively involved in a number of R packages.
The source code for all are available on Github in various repositories
and this page provides an overview.
Packages
- dataReporter
is an R package for documenting and creating reports on data
cleanliness. is a package for identification of potential errors in a
data frame as part of the data screening process. Data screening is an
important first step of any statistical analysis and
dataReporter
auto generates a customizable data report with
thorough summary documentation of the checks and the results that a
human can use to identify possible errors.
- DKcpr A package for
working with Danish CPR numbers (personal identification numbers),
checking their validity, and extracting information from them.
- geeasy An
improved R package for GEE analysis.
MESS The MESS package
contains a collection of various semi-useful functions that I have
written and over the years. There is no real overall theme to the
functions in the package except I personally find them awfully
useful.
- MethComp Methods
(standard and advanced) for analysis of agreement between measurement
methods. These cover Bland-Altman plots, Deming regression, Lin’s Total
deviation index, and difference-on-average regression. See Carstensen B.
(2010) “Comparing Clinical Measurement Methods: A Practical Guide
(Statistics in Practice)” doi:10.1002/9780470683019 for more information.
- SuperRanker
Methods for computing the sequential rank
agreement score when comparing rankings of multiple lists.
Data packages
The following package are in an early state. Still functional but not
really that full fledged.
- Austin
- CoOL
- networkR
- socceR