rgl (>= 0.98.1), RCurl, foreach, hyperSpec

c(
person("Lukas W.", "Lehnert", role = c("cre", "aut"),
email = "lukaslehnert@googlemail.com",
comment = c(ORCID = "0000-0002-5229-2282")),
person("Hanna", "Meyer", role = "ctb"),
person("Joerg", "Bendix", role = "ctb")
)
Lukas W. Lehnert [cre, aut] (<https://orcid.org/0000-0002-5229-2282>),
Hanna Meyer [ctb],
Joerg Bendix [ctb]

rgl (>= 0.98.1), RCurl, foreach, asdreader

R (>= 3.3.1), raster (>= 2.5-8), rgdal (>= 1.1-10), signal,
methods, caret, Boruta

Density (probability), distribution, inverse
distribution (quantile) and random data generation
functions for the hse ("hope springs eternal") distribution.
Functions to calculate rough moment estimates, and maximum
likelihood estimates of the parameters of this distribution.
Functions to plot the probabilities of the distribution,
given the parameter values, and to plot the fitted
probabilities given a maximum likelihood fit.

Density (probability), distribution, inverse
distribution (quantile) and random data generation
functions for the hse ("hope springs eternal") distribution.
Maximum likelihood estimation of parameters.  Plotting of
the probability mass function, from specified parameters or
from a maximum likelihood fit, and of the likelihood surface.
Fisher information, different estimates of the hessian of the
log likelihood and Monte Carlo estimation of the covariance
matrix of the maximum likelihood parameter estimates.
Goodness of fit tests.

c(person("Rezzy Eko",
"Caraka",
email = "rezzyekocaraka@gmail.com",
role = c("aut","cre")),
person("Maengseok",
"Noh",
email = "msnoh@pknu.ac.kr",
role = c("aut")),
person("Youngjo",
"Lee",
email = "youngjomail@gmail.com",
role = c("aut")))
Rezzy Eko Caraka [aut, cre],
Maengseok Noh [aut],
Youngjo Lee [aut]
We present this package for fitting structural equation models using the hierarchical likelihood method. This package allows extended structural equation model, including dynamic structural equation model. We illustrate the use of our packages with well-known data sets. Therefore, this package are able to handle two serious problems inadmissible solution and factor indeterminacy <doi:10.3390/sym13040657>.
R (>= 3.6.0), methods, Matrix, numDeriv, boot, mvtnorm