"ctb", comment = "prcomp interface, formula implementation and
Description: Two methods for performing a constrained principal
component analysis (PCA), where non-negativity and/or sparsity
constraints are enforced on the principal axes (PAs). The
function 'nsprcomp' computes one principal component (PC) after
the other. Each PA is optimized such that the corresponding PC
has maximum additional variance not explained by the previous
components. In contrast, the function 'nscumcomp' jointly
computes all PCs such that the cumulative variance is maximal.
'nsprcomp', which inherits from 'prcomp'. See
Suggests: MASS, testthat (>= 0.8), roxygen2
R Core team [ctb] (prcomp interface, formula implementation and

Title: Interface to National Sleep Research Resource
Description: Allows users to access data from the National Sleep
Imports: httr, jsonlite, tools, digest, stats, utils
Suggests: covr, DT, knitr, rmarkdown, testthat
Packaged: 2019-02-14 23:45:20 UTC; johnmuschelli

Packaged: 2019-05-14 20:32:39 UTC; johnmuschelli

Suggests: covr, DT, knitr, rmarkdown, testthat, xml2, rvest
Packaged: 2019-09-17 14:49:05 UTC; johnmuschelli

Suggests: covr, DT, knitr, rmarkdown, testthat, xml2, rvest, readr
Packaged: 2020-06-24 16:51:21 UTC; johnmuschelli

Title: Count Syllables in Character Vectors
Description: Counts syllables in character vectors for English words.  Imputes syllables as the number of vowel sequences for words not found.
person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0002-0797-564X")),
person("Carnegie Mellon University", email = "air+cmudict@cs.cmu.edu", role = "cph",
comment = "CMU Pronunciation Dictionary (c) 1993-2015")
Carnegie Mellon University [cph] (CMU Pronunciation Dictionary (c)

Title: Statistical Inference for Network Time Series
Description: Statistical inference tools for network time series,
including implementation of the Graph Ornstein-Uhlenbeck ('GrOU')
model and sparse AR-like regression on irregularly-spaced data
(Courgeau and Veraart (2020) <arXiv:2005.12720>; Courgeau and Veraart
<arXiv:2008.10930>). It also handles jumps and Levy-type driving
noises through Wiener-Poisson mixtures and Generalised Hyperbolic
Imports: assertthat (>= 0.2.1), copCAR, ghyp, Matrix, mvtnorm, pracma,
Suggests: igraph, knitr, numDeriv, rmarkdown, spelling, testthat (>=
Packaged: 2021-09-09 10:25:26 UTC; vcourgeau
Author: Valentin Courgeau [aut, cre, cph]