person("Michael", "Sumner", email = "mdsumner@gmail.com", role = "ctb"),
person("Joanna", "Mills Flemming", email = "joanna.flemming@dal.ca",
rworldxtra(>= 1.01), sp (>= 1.2-3), tibble (>= 1.1), lubridate

Title: Bayesian Spectral Analysis Models using Gaussian Process Priors
Description: Contains functions to perform Bayesian inference
using a spectral analysis of Gaussian process priors.
Gaussian processes are represented with a Fourier series
based on cosine basis functions. Currently the package
includes parametric linear models, partial linear additive
models with/without shape restrictions, generalized linear
additive models with/without shape restrictions, and
density estimation model. To maximize computational
efficiency, the actual Markov chain Monte Carlo sampling
for each model is done using codes written in FORTRAN 90.

This software has been developed using funding supported by
Basic Science Research Program through the National Research
Foundation of Korea (NRF) funded by the Ministry of Education

Description: It is used for scaling a quantitative variable as a binary variable, consisting
only 0s and 1s. It is useful in scaling a response variable measured on interval scale for

Title: Bayesian parametric and semi-parametric analyses for
Author: Kyu Ha Lee, Sebastein Haneuse, Deborah Schrag, and Francesca
Description: Algorithms for Bayesian analysis of semi-competing risks
Depends: bayesm, mvtnorm, msm, R (>= 2.12.2)

Author: Kyu Ha Lee, Sebastien Haneuse, Deborah Schrag, and Francesca

Description: Exposes the binary search functions of the C++ standard library (std::lower_bound, std::upper_bound) plus other convenience functions, allowing faster lookups on sorted vectors.

Title: Bayesian Structural Equation Models
comment = c(ORCID = "0000-0002-1903-2091", URL= "https://rvpanaro.github.io/")),
Description: Flexible routines to allow structural equation modeling particular cases using 'rstan' integration. 'bsem' includes Bayesian semi Confirmatory Factor Analysis, Confirmatory Factor Analysis, and Structural Equation Model.  VD Mayrink (2013) <doi:10.1214/12-AOAS607>.
Imports: visNetwork (>= 2.0.9), shiny (>= 1.5.0), methods, Rcpp (>=
Suggests: knitr, devtools, roxygen2, testthat (>= 2.1.0), covr,
rmarkdown, bayesplot, tidybayes, ggplot2, gridExtra (>= 2.3),
shinycssloaders (>= 0.3), plotly (>= 4.9.2.1), ggridges (>=
Author: Renato Panaro [aut, cre] (<https://orcid.org/0000-0002-1903-2091>,