Educational games for grades PreK through 6 that will keep kids engaged and having fun. Topics include math, reading, typing, just-for-fun logic games… and more!

:exclamation: This is a read-only mirror of the CRAN R package repository. abc — Tools for Approximate Bayesian Computation (ABC) - cran/abc

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2012年1月31日 · We provide an R package ‘abc’ to perform model selection and parameter estimation via ABC. Integrating ‘abc’ within the R statistical environment offers high-quality graphics and data visualisation tools. The R package implements recently developed non-linear methods for ABC and is going to evolve as new algorithms and methods accumulate.

2022年5月20日 · This function performs multivariate parameter estimation based on summary statistics using an ABC algorithm. The algorithms implemented are rejection sampling, and local linear or non-linear (neural network) regression.

This function performs multivariate parameter estimation based on summary statistics using an ABC algorithm. The algorithms implemented are rejection sampling, and local linear or non-linear (neural network) regression. A conditional heteroscedastic model is …

2011年6月14日 · We introduce the R abc package that implements several ABC algorithms for performing parameter estimation and model selection. In particular, the recently developed non-linear heteroscedastic regression methods for ABC are implemented.

ABC/R (Augmented Bolt Catch/Release) with its angled and larger top paddle and lower paddle with increased surface area, is purpose designed for use with AR15/M16 receivers equipped with ambidextrous magazine releases.

ABC/R v2 (2018) saw new surface texture (AA, or All Angles), reliability and compatibility tweaks for thicker upper receivers. V3 (2020) which replaces v2 incorporates feedback and input from users, as well as improvements we developed to make what is already probably the best AR/M16 bolt catch better.

ABC/R's lower paddle is angled and protrudes further laterally, easily separating itself from the ambidextrous magazine catch's release paddle. It enables the user to identify and differentiate these two different components by feel, without a visual.