Repeatability Estimation for Gaussian and Non-Gaussian Data
Holger Schielzeth <holger.schielzeth@uni-jena.de>,
Martin Stoffel <martin.adam.stoffel@gmail.com>,
Shinichi Nakagawa <s.nakagawa@unsw.edu.au>
R functions for estimating repeatability (intra-class
correlation) from gaussian, binary, proportion and count data.
methods, stats, lme4, parallel (>= 3.1.2)

methods, stats, lme4, parallel (>= 3.1.2), pbapply

Martin Stoffel <martin.adam.stoffel@gmail.com>,
Shinichi Nakagawa <s.nakagawa@unsw.edu.au>,
Holger Schielzeth <holger.schielzeth@uni-jena.de>
Estimating repeatability (intra-class
correlation) from Gaussian, binary, proportion and count data.

Estimating repeatability (intra-class
correlation) from Gaussian, binary, proportion and Poisson data.

rpubchem - Interface to the PubChem Collection
Access PubChem data (compounds, substance, assays). Structural information
is provided in the form of SMILES strings. This package only provides access
to a subset of the precalculated data stored by PubChem. Bio-assay data can
be accessed to obtain descriptions as well as the actual data. It is also
possible to search for assay ID's by keyword. Currently the main limitation is
that only 1000 molecules can be downloaded at a time from the PubChem servers

Access PubChem data (compounds, substance, assays).
Structural information is provided in the form of SMILES
strings. This package only provides access to a subset of the
precalculated data stored by PubChem. Bio-assay data can be
accessed to obtain descriptions as well as the actual data. It
is also possible to search for assay ID's by keyword. Currently
the main limitation is that only 1000 molecules can be
downloaded at a time from the PubChem servers

c(person("Rajarshi", "Guha", email="rajarshi.guha@gmail.com", role=c("aut","cre")),
person("John", "Buonagurio", email="jbuonagurio@exponent.com", role=c("ctb")))
Rajarshi Guha [aut, cre],
John Buonagurio [ctb]
XML, car, RCurl, RJSONIO, data.table, iterators, itertools,
stringr, fingerprint, base64enc, methods
Access PubChem data (compounds, substance, assays) using R.
Structural information is provided in the form of SMILES strings.
It currently only provides access to a subset of the
precalculated data stored by PubChem. Bio-assay data can be accessed to
obtain descriptions as well as the actual data. It is also possible to search for assay ID's by keyword.