Utility for returning previous commands as unevaluated calls and
the full context of function calls.
This packages returns one or more calls from the command
history, allowing introspection of the present and previous
commands including a function's full calling context.

This is a simple wrapper for the LASVM Solver (see http://leon.bottou.org/projects/lasvm). LASVM is basically an online variant of the SMO solver.
Original C/C++ code (GPL) by Leon Bottou
(http://leon.bottou.org), Yann Le Cun, AT&T Corp, NECI/NEC Labs
America and Neuristique.

Original C/C++ code (GPL) by Leon Bottou
(http://leon.bottou.org) and coworkers.

Draws diagrams useful for checking latent scales
Writes a file of commands for the dot program to draw a graph
proposed by Rosenbaum and useful for checking some properties of various
sorts of latent scale

Draws Diagrams Useful for Checking Latent Scales
A graph
proposed by Rosenbaum is useful
for checking some properties of various
sorts of latent scale, this program generates commands
to obtain the graph using 'dot' from 'graphviz'.

Writes a file of commands for the dot program to draw a
graph proposed by Rosenbaum and useful for checking some
properties of various sorts of latent scale

person("Michael", "Dewey", role = c("aut", "cre"),
email = "lists@dewey.myzen.co.uk",
comment = c(ORCID = "0000-0002-7522-3677")
)
Michael Dewey [aut, cre] (<https://orcid.org/0000-0002-7522-3677>)

c(
person("Alexander", "Christensen", email = "alexpaulchristensen@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9798-7037")),
person("Maria Dolores", "Nieto Canaveras", email = "mnietoca@nebrija.es", role = "aut"),
person("Hudson", "Golino", email = "hfg9s@virginia.edu", role = "aut", comment = c(ORCID = "0000-0002-1601-1447")),
person("Luis", "Eduardo Garrido", email = "luisgarrido@pucmm.edu", role = "aut", comment = c(ORCID = "0000-0001-8932-6063")))
Generates data based on latent factor models. Data can be continuous, polytomous, dichotomous, or mixed. Skews, cross-loadings, wording effects, population errors, and local dependencies can be added. All parameters can be manipulated. Data categorization is based on Garrido, Abad, and Ponsoda (2011) <doi:10.1177/0013164410389489>.
Alexander Christensen [aut, cre]
(<https://orcid.org/0000-0002-9798-7037>),
Maria Dolores Nieto Canaveras [aut],
Hudson Golino [aut] (<https://orcid.org/0000-0002-1601-1447>),
Luis Eduardo Garrido [aut] (<https://orcid.org/0000-0001-8932-6063>)