
mcsm package - RDocumentation
mcsm contains a collection of functions that allows the reenactment of the R programs used in the book EnteR Monte Carlo Methods without further programming. Programs being available as well, they can be modified by the user to conduct one's own simulations.
mcsm: Functions for Monte Carlo Methods with R - R Package …
2019年5月2日 · mcsm contains a collection of functions that allows the reenactment of the R programs used in the book EnteR Monte Carlo Methods without further programming. Programs being available as well, they can be modified by the user to conduct one's own simulations.
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Package ‘mcsm’
mcsm contains a collection of functions that allows the reenactment of the R programs used in the book EnteR Monte Carlo Methods without further programming. Programs being available as well, they can be modified by the user to conduct one's own simulations.
How to use mcsm - R-bloggers
As indicated on pages 36-37 of Introducing Monte Carlo Methods with R, mcsm is a registred R package, readers can therefore download it manually from CRAN, but they should first try using install.packages in R as this is both easier and safer.
This is a read-only mirror of the CRAN R package repository. mcsm ...
This is a read-only mirror of the CRAN R package repository. mcsm — Functions for Monte Carlo Methods with R
Introducing Monte Carlo Methods with R | SpringerLink
The first book to present modern Monte Carlo and Markov Chain Monte Carlo (MCMC) methods from a practical perspective through a guided implementation in the R language; All concepts are carefully described with the abstract theoretical background replaced with a corresponding R program that the reader can use and modify at will
mcsm source: demo/Chapter.1.R - R Package Documentation
demo/Chapter.1.R In mcsm: Functions for Monte Carlo Methods with R # Chapter 1 R commands # Section 1.3.2 x = matrix ( 1 : 4 , ncol = 3 ) print ( x[x > 5 ] ) print ( x[1.]
mcsm API and function index - R Package Documentation
API and function index for mcsm. adapump: Illustration of the danger of adaptive MCMC for the pump... betagen: Plot explaining accept-reject on a Beta(2.7,6.3) target Braking: Quadratic regression on the car braking dataset challenge: Slice sampler analysis of the challenger dataset challenger: O-ring failures against temperature for shuttle launches ...
R Mcsm - Anaconda.org
mcsm contains a collection of functions that allows the reenactment of the R programs used in the book EnteR Monte Carlo Methods without further programming. Programs being available as well, they can be modified by the user to conduct one's own simulations.
mcsm/demo/Chapter.6.R at master · cran/mcsm · GitHub
:exclamation: This is a read-only mirror of the CRAN R package repository. mcsm — Functions for Monte Carlo Methods with R - cran/mcsm
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