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Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG
The R package BiDAG implements Markov chain Monte Carlo (MCMC) methods for
structure learning and sampling of Bayesian networks. The package includes tools to
search for a maximum a posteriori (MAP) graph and to sample graphs from the…
structure learning and sampling of Bayesian networks. The package includes tools to
search for a maximum a posteriori (MAP) graph and to sample graphs from the…
bayesnec: An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics
The bayesnec package has been developed for R to fit concentration (dose)-response
curves (CR) to toxicity data for the purpose of deriving no-effect-concentration (NEC), nosignificant-effect-concentration (NSEC), and effect-concentration (of…
curves (CR) to toxicity data for the purpose of deriving no-effect-concentration (NEC), nosignificant-effect-concentration (NSEC), and effect-concentration (of…
BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks
The BayesNetBP package has been developed for probabilistic reasoning and visualization in Bayesian networks with nodes that are purely discrete, continuous or mixed
(discrete and continuous). Probabilistic reasoning enables a user to absorb…
(discrete and continuous). Probabilistic reasoning enables a user to absorb…
BayesSUR: An R Package for High-Dimensional Multivariate Bayesian Variable and Covariance Selection in Linear Regression
In molecular biology, advances in high-throughput technologies have made it possible to study complex multivariate phenotypes and their simultaneous associations with
high-dimensional genomic and other omics data, a problem that can be studied…
high-dimensional genomic and other omics data, a problem that can be studied…
bbl: Boltzmann Bayes Learner for High-Dimensional Inference with Discrete Predictors in R
Jun Woo, Jinhua Wang
Non-regression-based inferences, such as discriminant analysis, can account for the
effect of predictor distributions that may be significant in big data modeling. We describe bbl, an R package for Boltzmann Bayes learning, which enables a…
effect of predictor distributions that may be significant in big data modeling. We describe bbl, an R package for Boltzmann Bayes learning, which enables a…
Behavioural observation tool for patient involvement and collaboration in emergency care teams (PIC-ET-tool)
Background Patient participation is advocated in various healthcare settings. Instruments for assessment and feedback have been developed to strengthen clinician-patient interaction. In an emergency department context, such
instruments are still…
instruments are still…
BEHIND TRADE BALANCE SURPLUS IN KALIMANTAN BARAT AMIDST COVID-19 PANDEMIC
This study aims to determine general exports/imports structure, find the commodities and their salient characteristics, and measure changes in primary commodities price during the pandemic in Kalimantan Barat. The data used is Kalimantan Barat's…
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series
We describe the R package BEKKs, which implements the estimation and diagnostic
analysis of a prominent family of multivariate generalized autoregressive conditionally heteroskedastic (MGARCH) processes, the so-called BEKK models. Unlike existing…
analysis of a prominent family of multivariate generalized autoregressive conditionally heteroskedastic (MGARCH) processes, the so-called BEKK models. Unlike existing…
Benchmarking Performances of Raspberry pi Microcomputer as Video Wall Devices
Video wall development is affected by cost, power
consumption, processing capabilities, algorithm, and video used.
Literature has shown that using microcomputers reduces power
consumption and costs, but performance remains a…
consumption, processing capabilities, algorithm, and video used.
Literature has shown that using microcomputers reduces power
consumption and costs, but performance remains a…
Beradaptasi Dengan Perubahan Pasar Dalam Strategi Bersaing Yang Fleksibel Dan Dinamis
Penelitian ini bertujuan untuk mengetahui strategi bisnis yang fleksibel dan dinamis dalam beradaptasi dengan perubahan pasar. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan studi literatur untuk memahami konsep dan…