Title: Bias-Corrected Bayesian Classification with Selected Features
Description: Fully Bayesian Classification with a subset of high-dimensional features, such as expression levels of genes. The data are modeled with a hierarchical Bayesian models using heavy-tailed t distributions as priors. When a large number of features are available, one may like to select only a subset of features to use, typically those features strongly correlated with the response in training cases. Such a feature selection procedure is however invalid since the relationship between the response and the features has be exaggerated by feature selection. This package provides a way to avoid this bias and yield better-calibrated predictions for future cases when one uses F-statistic to select features.

Title: Calculation of Option Prices Based on a Universal Solution
Description: Calculates the prices of European options based on the universal solution provided by Bakshi, Cao and Chen (1997) <doi:10.1111/j.1540-6261.1997.tb02749.x>. This solution considers stochastic volatility, stochastic interest and random jumps. Please cite their work if this package is used.

Title: Bayesian Structure and Causal Learning of Gaussian Directed
Description: A collection of functions for structure learning of causal networks and estimation of joint
causal effects from observational Gaussian data. Main algorithm consists of a Markov chain Monte Carlo
scheme for posterior inference of causal structures, parameters and causal effects between variables.
F. Castelletti and A. Mascaro (2022) <arXiv:2201.12003>.
Imports: graphics, gRbase, grDevices, lattice, methods, mvtnorm, stats,
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)

Title: Business Cycle Dating and Plotting Tools - BCDating
Authors@R: c(person("Majid", "Einian", role = c("aut", "cre"),
Description: Tools for Dating Business Cycles using Harding-Pagan (Quarterly Bry-Boschan) method and various plotting features.

Title: Business Cycle Dating and Plotting Tools

Package: BCE
Version: 1.1
Title: Bayesian composition estimator: estimating sample (taxonomic) composition from biomarker data
Author: Karel Van den Meersche <k.vdmeersche@nioo.knaw.nl>, Karline Soetaert <k.soetaert@nioo.knaw.nl>
Maintainer: Karel Van den Meersche <k.vdmeersche@nioo.knaw.nl>
Depends: R (>= 2.01), quadprog
Description: Function to estimates taxonomic compositions from biomarker data, using a Bayesian approach.
License: GPL
LazyData: yes
Packaged: Thu May  8 04:31:09 2008; theussl