Suggests: devtools, DT, knitr, quantmod, rmarkdown

forecast (>= 8.2), forecastHybrid(>= 2.0.10), future(>=

Authors@R: person("Rami", "Krispin", email = "rami.krispin@gmail.com",
Packaged: 2019-10-28 19:16:53 UTC; ramikrispin

forecastHybrid(>= 2.0.10), future(>= 1.10.0), future.apply(>=
Packaged: 2020-01-20 23:16:39 UTC; ramikrispin

Title: Time Series Database Interface extension to connect to
Description: Provides TSdbi package methods to retrieve time series
data from spreadsheets, pretending the spreadsheet is a
Depends: R (>= 2.8.0), methods, DBI, TSdbi (>= 2010.12-1), tframe,
Imports: methods, DBI, TSdbi (>= 2010.12-1)

Description: Provides TSdbi package methods to retrieve time series data from
spreadsheets, pretending the spreadsheet is a database.
Depends: R (>= 2.8.0), methods, DBI, TSdbi (>= 2011.11-1), tframe,

Depends: R (>= 2.8.0), methods, DBI, TSdbi (>= 2011.6-1), tframe,

Title: TSdbi extension to connect to spreadsheets
database.  Comprehensive examples of all the TS* packages is

Imports: methods, DBI, tframe, tframePlus, gdata

Title: Time Series Database Interface extension to connect to zip files
zipped, as if the files form a database.
Suggests: zoo, timeSeries, xts, tis, tframePlus (>= 2011.2-2)

data from zipped, as if the files form a database.

Suggests: zoo, timeSeries, xts, tis, tfplot

Title: TSdbi extension to connect to zip files

Title: Display Tree Structured Data using Datatable Widget (DT)
Description: Wrapper of datatable widget, allowing display of data.tree objects.
All arguments of the data.tree become columns and each node is a row.
Adds column with buttons allowing folding and unfolding the levels.
Imports: DT, dplyr (>= 1.0.0), magrittr, purrr, data.tree, htmlwidgets

Package: TTAinterfaceTrendAnalysis
Type: Package
Title: Graphical interface to proceed temporel trend analysis
Version: 1.0
Date: 2012-01-09
Authors@R: c(person("David", "Devreker", role = c("aut", "cre"), email
= "david_devreker@yahoo.fr" ))
Description: This interface was created to develop a standard procedure
of temporal trend analysis in the framework of the OSPAR
convention.  It is based on 5 successive steps : chossing and
simply manipulate your database, select the parameters you want
to analyse, build your regulated time series, perform analysis
and read the results all in one easy to use interface.
Statistical analysis call other package function such as
Kendall tests (wq package) or cusum function (Pastec package).
License: GPL (>= 2)
Depends: R (>= 2.14.0), Hmisc, pastecs, reshape, Kendall, wq, stats,
e1071 , nlme, timeSeries, fBasics, relimp, tcltk
Packaged: 2012-03-07 14:13:29 UTC; ddevreke
Author: David Devreker [aut, cre]
Maintainer: David Devreker <david_devreker@yahoo.fr>
Repository: CRAN
Date/Publication: 2012-03-07 17:49:10