Title: Probabilistic Time Series Forecasting
Description: Probabilistic time series forecasting via Natural Gradient Boosting for Probabilistic Prediction.
Suggests: ggplot2 (>= 3.3.5), testthat (>= 3.0.0)
'importlib-metadata', pip = TRUE), list(package = 'ngboost',
Depends: R (>= 3.6), reticulate (>= 1.20)

Description: This package offers utilities for creating, displaying,
and "babbling" n-grams.  The babbler is a simple Markov
Author: Drew Schmidt [aut, cre], Christian Heckendorf [aut]

Description: An n-gram is a sequence of n "words" taken from a
body of text in order.  This package offers utilities for creating,
displaying, summarizing, and "babbling" n-grams.  The
'tokenization' and "babbling" are handled by very efficient C
code, which can even be build as its own standalone library.
The babbler is a simple Markov chain.  The package also offers
a vignette with complete example 'workflows' and information about
Collate: 'ngram.r' 'babble.r' 'concatenate.r' 'getseed.r' 'getters.r'

Description: An n-gram is a sequence of n "words" taken, in order, from a
body of text.  This is a collection of utilities for creating,
code, which can even be built as its own standalone library.
Collate: 'ngram.r' 'babble.r' 'checks.r' 'concatenate.r' 'getseed.r'

Description: Get word frequencies through time from the Google Ngram Viewer
Imports: httr, RCurl, plyr, rjson, stringr, reshape2, ggplot2, scales
Collate: 'ngram.R' 'ngrami.R' 'help.R' 'ggram.R' 'ngramw.R' 'themes.R'

Title: Retrieve and plot Google n-gram data
Description: Retrieve and plot word frequencies through time from the Google

Title: Retrieve and Plot Google n-Gram Data
person("Sean", "Carmody", email = "seancarmody@gmail.com", role = c("aut", "cre", "cph"))
Description: Retrieve and plot word frequencies through time from the "Google
Imports: httr, rlang, RCurl, dplyr, cli, tibble, tidyr, rjson, stringr,
ggplot2, scales, xml2, textutils, lifecycle

Imports: httr, rlang, RCurl, dplyr (>= 1.0.3), cli, tibble, tidyr,
rjson, stringr, ggplot2, scales, xml2, textutils, lifecycle