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cran
mcmc:Markov Chain Monte Carlo
Simulates continuous distributions of random vectors using Markov chain Monte Carlo (MCMC). Users specify the distribution by an R function that evaluates the log unnormalized density. Algorithms are random walk Metropolis algorithm (function metrop), simulated tempering (function temper), and morphometric random walk Metropolis (Johnson and Geyer, 2012, <doi:10.1214/12-AOS1048>, function morph.metrop), which achieves geometric ergodicity by change of variable.
Maintained by Charles J. Geyer. Last updated 1 years ago.
7.41 score 154 dependents
darrenjw
smfsb:Stochastic Modelling for Systems Biology
Code and data for modelling and simulation of stochastic kinetic biochemical network models. It contains the code and data associated with the second and third editions of the book Stochastic Modelling for Systems Biology, published by Chapman & Hall/CRC Press.
Maintained by Darren Wilkinson. Last updated 1 years ago.
2.94 score 88 scripts