Tools for analyzing sales report files of iTunes Connect.

person(given = "Aki",
family = "Ariga",
role = c("aut", "cre"),
email = "chezou@gmail.com")
Upload R data.frame to Arm Treasure Data, see <https://www.treasuredata.com/>.
You can execute database or table handling for resources on Arm Treasure Data.
readr (>= 1.2.1), httr(>= 1.4.0), openssl, jsonlite, methods,
urltools

person(given = "Aki",
family = "Ariga",
role = c("aut", "cre", "cph"),
email = "ariga@treasure-data.com")
'TdClient.R' 'bulk_import.R' 'database.R' 'job.R' 'table.R'
'td.R'
readr (>= 1.2.1), httr(>= 1.4.0), dplyr (>= 1.0.0), jsonlite,
methods, RcppMsgPack, urltools, uuid, purrr
testthat (>= 2.0.1), mockery (>= 0.4.1.1), openssl, webmockr,
devtools

R (>= 2.9.1), xts, zoo, XML, RCurl, sfsmisc
The package contains functions that can be used to
interface with the TDAmeritrade API.

Christophe Dutang [aut, cre], Armelle Guillou [ctb], Yuri Goegebeur [ctb]
Robust tail dependence estimation for bivariate models. This package is based on two papers by the authors:'Robust and bias-corrected estimation of the coefficient of tail dependence' and 'Robust and bias-corrected estimation of extreme failure sets'. This work was supported by a research grant (VKR023480) from VILLUM FONDEN and an international project for scientific cooperation (PICS-6416).

Robust tail dependence estimation for bivariate models. This package is based on two papers by the authors:'Robust and bias-corrected estimation of the coefficient of tail dependence' and 'Robust and bias-corrected estimation of probabilities of extreme failure sets'. This work was supported by a research grant (VKR023480) from VILLUM FONDEN and an international project for scientific cooperation (PICS-6416).

HMM-Based Model for Genotyping and Cross-Over Identification
c(
person("Rafael", "Campos-Martin", email = "rfael.mpi@gmail.com", role = c("cre"), comment = c(ORCID = "0000-0002-1395-8571")),
person("Sophia", "Schmickler", email = "so4a_schmickler@t-online.de", role = c("aut")),
person("Manish", "Goel", email = "goel@mpipz.mpg.de", role = c("ctb")),
person("Korbinian", "Schneeberger", email = "schneeberger@mpipz.mpg.de", role = c("aut")),
person("Achim", "Tresch", email = "achim.tresch@uni-koeln.de", role= c("aut"))
)
Our method integrates information from all sequenced samples, thus avoiding loss of alleles due to low coverage. Moreover, it increases the statistical power to uncover sequencing or alignment errors.
methods, e1071, reshape2, ggplot2, TailRank, JuliaCall,
IRanges, qpdf, grDevices, graphics, stats, utils
knitr, rmarkdown, markdown, Gviz, rtracklayer
Rafael Campos-Martin [cre] (<https://orcid.org/0000-0002-1395-8571>),
Sophia Schmickler [aut],
Manish Goel [ctb],
Korbinian Schneeberger [aut],
Achim Tresch [aut]