sim_SDE()
and multi_init_simulation()
for simulating stochastic differential equations (SDEs) and multiple initial conditions, respectively.as.mcmc.list()
method for lists of simulation outputs. The added simulation functions also have the option to return the output as an mcmc
or mcmc.list
object, so that they can be used with coda
functions.weight_var
to specify the variable that contains the weight of each sample point. This may be useful if user applies importance sampling.0 errors | 0 warnings | 1 note
Maintainer: 'Jingmeng Cui jingmeng.cui@outlook.com'
Found the following (possibly) invalid URLs: URL: https://www.doi.org/10.1073/pnas.0800579105 From: README.md Status: 403 Message: Forbidden
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We checked 2 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.
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