Title: Bayesian composition estimator: estimating sample (taxonomic)
Author: Karel Van den Meersche <k.vdmeersche@nioo.knaw.nl>, Karline
Description: Function to estimates taxonomic compositions from
biomarker data, using a Bayesian approach.

Author: Karel Van den Meersche <karel.van_den_meersche@cirad.fr>,
Maintainer: Karel Van den Meersche <karel.van_den_meersche@cirad.fr>

Author: Karel Van den Meersche <karel.van_den_meersche@cirad.fr>, Karline Soetaert <karline.soetaert@nioz.nl>
Depends: R (>= 2.0.1), FME, limSolve, Matrix

Title: Bayesian Composition Estimator: Estimating Sample (Taxonomic)
Description: Function to estimate taxonomic compositions from biomarker data, using a Bayesian approach.
Packaged: 2022-05-12 16:03:17 UTC; vandenmeersche

Title: Bayesian Cost Effectiveness Analysis
Description: Produces an economic evaluation of a Bayesian model in the
form of MCMC simulations. Given suitable variables of cost and
effectiveness / utility for two or more interventions, BCEA
computes the most cost-effective alternative and produces
graphical summaries and probabilistic sensitivity analysis

Description: Produces an economic evaluation of a Bayesian model in the form of MCMC simulations. Given suitable variables of cost and effectiveness / utility for two or more interventions, BCEA computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis

Suggests: MASS, ggplot2, grid, R2jags, mgcv

Suggests: MASS, ggplot2, grid, R2jags, R2OpenBUGS, mgcv

Author: Gianluca Baio, Andrea Berardi, Anna Heath
Suggests: MASS, ggplot2, grid, R2jags, R2OpenBUGS, INLA, mgcv
Description: Produces an economic evaluation of a Bayesian model in the form of MCMC simulations. Given suitable variables of cost and effectiveness / utility for two or more interventions, This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis.

Suggests: R2jags, R2OpenBUGS, ggplot2, grid, INLA, splancs, mgcv

Suggests: R2jags, R2OpenBUGS, ggplot2, grid, INLA, splancs, mgcv, ldr