rcorpora, scales, viridisLite, fields, RColorBrewer, rlang,

Description: Support for the foreach looping construct.  Foreach is an
idiom that allows for iterating over elements in a collection,
without the use of an explicit loop counter.  This package in
particular is intended to be used for its return value, rather
than for its side effects.  In that sense, it is similar to the
standard lapply function, but doesn't require the evaluation of
a function.  Using foreach without side effects also
facilitates executing the loop in parallel.
Depends: R (>= 2.5.0), iterators(>= 1.0.0), codetools, utils

Packaged: 2012-03-12 19:48:17 UTC; richcalaway

Packaged: 2012-03-14 19:49:12 UTC; richcalaway

Enhances: compiler, doMC, RUnit, doParallel

standard lapply function, but doesn't require the evaluation
of a function.  Using foreach without side effects also

Title: Provides Foreach Looping Construct for R

Title: Provides Foreach Looping Construct

Suggests: randomForest, doMC, doParallel, testthat, knitr, rmarkdown
Collate: 'callCombine.R' 'foreach.R' 'do.R' 'foreach-ext.R'
'foreach-pkg.R' 'getDoPar.R' 'getDoSeq.R' 'getsyms.R' 'iter.R'
'nextElem.R' 'onLoad.R' 'setDoPar.R' 'setDoSeq.R' 'times.R'

Title: Forecasting Time Series by Theta Method
Author: Jose Augusto Fioruci, Francisco Louzada and Bao Yiqi
Maintainer: Jose Augusto Fioruci <jafioruci@gmail.com>
Depends: R (>= 3.0.2), forecast, parallel
Description: Routines for forecasting univariate time series using Theta Method and Optimised Theta Method (Fioruci et al, 2015). Contains two cross-validation routines of Tashman (2000).

Description: Routines for forecasting univariate time series using Theta Method and Optimised Theta Method (Fioruci et al, 2015). Contains several cross-validation routines.

Title: Forecasting Time Series by Theta Models
Author: Jose Augusto Fiorucci, Francisco Louzada and Bao Yiqi
BugReports: Send an email for <jafiorucci@gmail.com> with title
Description: Routines for forecasting univariate time series using Theta Models. Contains several cross-validation routines.