c(
person("Alexander", "Meier", email="meier.alexander@posteo.de", role=c("aut", "cre")),
person("Claudia", "Kirch", email="claudia.kirch@ovgu.de", role="aut"),
person("Matthew C.", "Edwards", email="matthew.edwards@ed.ac.uk", role="aut"),
person("Renate", "Meyer", email="renate.meyer@auckland.ac.nz", role="aut"))
Implementations of Bayesian parametric, nonparametric and semiparametric procedures for univariate and multivariate time series. The package is based on the methods presented in C. Kirch et al (2018) <doi:10.1214/18-BA1126> and A. Meier (2018) <https://opendata.uni-halle.de//handle/1981185920/13470>. It was supported by DFG grant KI 1443/3-1.
ltsa (>= 1.4.6), Rcpp (>= 0.12.5), MASS, MTS, forecast

c(
person("Alexander", "Meier", email="alexander.meier@ovgu.de", role=c("aut", "cre")),
person("Claudia", "Kirch", email="claudia.kirch@ovgu.de", role="aut"),
person("Matthew C.", "Edwards", email="matthew.edwards@ed.ac.uk", role="aut"),
person("Renate", "Meyer", email="renate.meyer@auckland.ac.nz", role="aut"))

The bezier package is a toolkit for working with Bezier curves and splines. The package provides functions for point generation, arc length estimation, degree elevation and curve fitting.

This package provides model fitting for
several Bayesian factor models including Gaussian,
ordinal probit, mixed and semiparametric Gaussian
copula factor models.
Rcpp (>= 0.8.6), RcppArmadillo, ggplot2, coda
'bfa-package.R' 'class.R' 'get_coda.R' 'main.R' 'plots.R'
'rng.R' 'postproc.R' 'ratings08.R'

This package provides model fitting for several Bayesian
factor models including Gaussian, ordinal probit, mixed and
semiparametric Gaussian copula factor models under a range of
priors.
Rcpp (>= 0.8.6), RcppArmadillo, ggplot2, reshape, coda

This package provides model fitting for
several Bayesian factor models including Gaussian,
ordinal probit, mixed and semiparametric Gaussian
copula factor models under a range of priors.
'bfa-package.R' 'main.R' 'bfa_copula.R' 'bfa_gauss.R'
'bfa_mixed.R' 'class.R' 'get_coda.R' 'plots.R' 'rng.R'
'postproc.R' 'ratings08.R' 'wrappers.R'