Suggests: knitr, rmarkdown, rpact, mvtnorm, testthat (>= 3.0.0)

hazards model using the Fleming-Harrington family of weighted log-rank tests.
The sequentially calculated log-rank test score statistics are assumed to
have independent increments as characterized in Anastasios A. Tsiatis (1982)
score statistics are calculated based on Kaifeng Lu (2021)
<doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated
using the recursive integration algorithm described in Christopher Jennison
and Bruce W. Turnbull (2000, ISBN:0849303168).

Description: The basic idea of latent semantic analysis (LSA) is,
that text do have a higher order (=latent semantic) structure which,
however, is obscured by word usage (e.g. through the use of synonyms
or polysemy). By using conceptual indices that are derived statistically
via a truncated singular value decomposition (a two-mode factor analysis)
over a given document-term matrix, this variability problem can be overcome.
Packaged: Thu Nov 24 19:24:34 2005; hornik

Packaged: Mon Feb 18 21:43:11 2008; hornik

however, is obscured by word usage (e.g., through the use of synonyms
Packaged: Tue Feb 10 09:18:08 2009; hornik

Description: The basic idea of latent semantic analysis (LSA) is, that
text do have a higher order (=latent semantic) structure which,
however, is obscured by word usage (e.g. through the use of
synonyms or polysemy). By using conceptual indices that are
derived statistically via a truncated singular value
decomposition (a two-mode factor analysis) over a given
document-term matrix, this variability problem can be overcome.

Title: Simulate Large Scale Assessment Data
person("Yuan-Ling Linda", "Liaw", email = "linda08@uw.edu", role = "ctb"),
person("Leslie", "Rutkowski", email = "leslie.rutkowski@cemo.uio.no", role = "ctb"),
person("David", "Rutkowski", email = "david.rutkowski@cemo.uio.no", role = "ctb"),
person("Kondwani Kajera", "Mughogho", email = "k.k.mughogho@cemo.uio.no", role = "ctb")
Description: Provides functions to simulate data from large-scale educational
assessments, including background questionnaire data and cognitive item
responses that adhere to a multiple-matrix sampled design.