Rasterize images using a 3D software renderer. 3D scenes are created either by importing external files, building scenes out of the included objects, or by constructing meshes manually. Supports point and directional lights, anti-aliased lines, shadow mapping, transparent objects, translucent objects, multiple materials types, reflection, refraction, environment maps, multicore rendering, bloom, tone-mapping, and screen-space ambient occlusion.

An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information on accumulation rates and their variability. See Blaauw & Christen (2011).

Simulation of phenotype / genotype data under assortative mating. 
    Includes functions for generating Bahadur order-2 multivariate Bernoulli 
    variables with general and diagonal-plus-low-rank correlation structures. 
    Further details are provided in: Border and Malik (2022) 
    <doi:10.1101/2022.10.13.512132>.

'BaseX' <https://basex.org> is a XML database engine and a compliant 'XQuery 3.1' processor with full support of 'W3C Update Facility'. This package is a full client-implementation of the client/server protocol for 'BaseX' and provides functionalities to create, manipulate and query on XML-data.

A Pure R implementation of Bayesian Global Optimization with Gaussian Processes.

A novel bias-bound approach for non-parametric inference is introduced, 
    focusing on both density and conditional expectation estimation. 
    It constructs valid confidence intervals that account for the presence of 
    a non-negligible bias and thus make it possible to perform inference with 
    optimal mean squared error minimizing bandwidths. 
    This package is based on Schennach (2020) <doi:10.1093/restud/rdz065>.

The Brazilian Central Bank API delivers many datasets which regard economic
  activity, regional economy, international economy, public finances, credit
  indicators and many more. For more information please see <http://dadosabertos.bcb.gov.br/>.
  These datasets can be accessed through 'rbcb' functions and can be obtained in
  different data structures common to R ('tibble', 'data.frame', 'xts', ...).