Text Mining Methods for Psychological Research
person("Kenneth", "Wilcox", email = "kwilcox3@nd.edu",
role = c("aut", "cre", "cph"))
Provides text mining methods for social science research. The
package implements estimation, inference, summarization, and goodness-of-fit
methods for topic models including Latent Dirichlet Allocation (LDA),
supervised LDA, and supervised LDA with covariates using Bayesian Markov Chain
Monte Carlo. A description of the key models and estimation methods is available
in Wilcox, Jacobucci, Zhang, & Ammerman (2021). <doi:10.31234/osf.io/62tc3>.
spelling, knitr (>= 1.22), covr, dplyr, ggplot2, lda,
testthat (>= 3.0.2), rmarkdown
Rcpp (>= 0.11.0), RcppArmadillo, RcppProgress (>= 0.4.2)
'RcppExports.R' 'aaa-classes.R' 'aaa-generics.R' 'data.R'
'deprec-functions.R' 'helper-functions.R' 'onUnload.R'
'psychtm-package.R' 'psychtm.R' 'sldax-methods.R' 'utils.R'

Real Time Monitoring of Asset Markets: Bubbles and Crisis
c(person(given = "Peter",
family = "C.B. Phillips",
role = "aut"),
person(given = "Shuping",
family = "Shi",
role = "aut"),
person(given = "Itamar",
family = "Caspi",
role = c("aut", "cre"),
email = "caspi.itamar@gmail.com"))
Apply the popular real-time monitoring strategy
proposed by Phillips, Shi and Yu (2015a,b;PSY) <doi:10.1111/iere.12132>, <doi:10.1111/iere.12131>, along with a new
bootstrap procedure designed to mitigate the potential impact of
heteroskedasticity and to effect family-wise size control in recursive
testing algorithms (Phillips and Shi, forthcoming).
ggplot2, knitr, lubridate, rmarkdown, spelling, testthat,
Peter C.B. Phillips [aut],
Shuping Shi [aut],
Itamar Caspi [aut, cre]

Helper Tools for Teaching Statistical Data Analysis
Provides functions and data-sets that are helpful
for teaching statistics and data analysis. It was originally designed for use
when teaching students in the Psychology Department at Nottingham Trent University.
c(person(given = "Mark",
family = "Andrews",
role = c("aut", "cre"),
email = "mark.andrews@ntu.ac.uk"),
person(given = "Jens",
family = "Roeser",
role = c("aut"),
email = "jens.roeser@ntu.ac.uk")
)
Mark Andrews [aut, cre],
Jens Roeser [aut]