c(person(c("Guy", "J."), "Abel", role = c("aut", "cre"),
email = "g.j.abel@gmail.com",
comment = c(ORCID = "0000-0002-4893-5687")))
Visualise sequential distributions using a range of plotting
styles. Sequential distribution data can be input as either simulations or
values corresponding to percentiles over time. Plots are added to
existing graphic devices using the fan function. Users can choose from four
different styles, including fan chart type plots, where a set of coloured
polygon, with shadings corresponding to the percentile values are layered
to represent different uncertainty levels. Full details in R Journal article; Abel (2015) <doi:10.32614/RJ-2015-002>.

ANSI Control Sequence Aware String Functions
Counterparts to R string manipulation functions that account for
the effects of ANSI text formatting control sequences.
c(
person("Brodie", "Gaslam", email="brodie.gaslam@yahoo.com",
role=c("aut", "cre")),
person(family="R Core Team",
email="R-core@r-project.org", role="cph",
comment="UTF8 byte length calcs from src/util.c"
))
'constants.R' 'fansi-package.R' 'has.R' 'internal.R' 'load.R'
'misc.R' 'nchar.R' 'strip.R' 'strwrap.R' 'strtrim.R'
'strsplit.R' 'substr2.R' 'tohtml.R' 'unhandled.R'
Brodie Gaslam [aut, cre],
R Core Team [cph] (UTF8 byte length calcs from src/util.c)

c(
person("Brodie", "Gaslam", email="brodie.gaslam@yahoo.com",
role=c("aut", "cre")),
person("Elliott", "Sales De Andrade", role="ctb"),
person(family="R Core Team",
email="R-core@r-project.org", role="cph",
comment="UTF8 byte length calcs from src/util.c"
))
Brodie Gaslam [aut, cre],
Elliott Sales De Andrade [ctb],
R Core Team [cph] (UTF8 byte length calcs from src/util.c)

'constants.R' 'fansi-package.R' 'internal.R' 'load.R' 'misc.R'
'nchar.R' 'strwrap.R' 'strtrim.R' 'strsplit.R' 'substr2.R'
'trimws.R' 'tohtml.R' 'unhandled.R' 'normalize.R' 'sgr.R'

Influential case detection methods for factor analysis and SEM
Tools for detecting and summarize influential cases that
can affect exploratory and confirmatory factor analysis models
as well as structural equation models more generally.
'gCD.R' 'forward.search.R' 'LD.R' 'misc.R' 'obs.resid.R'
'robustMD.R' 'faoutlier.R'