MCMC.Sample: MCMC.sample()
In tbrycekelly/CCELIM: California Current Ecosystem Linear Inverse Model

MCMC.sample()

1
2
3

MCMC.Sample(A = NULL, B = NULL, E = NULL, F = NULL, G = NULL,
  H = NULL, sdB = NULL, iter = 3000, outputlength = 100,
  burn.length = 1000, jmp = 1, x0 = NULL, test = TRUE, verbose = TRUE)

`A`	A matrix containing all the approximate equations.
`B`	A vector containing all the measured values.
`E`	A matrix containing all the exact equations.
`F`	A vector containing the solutions to the exact equations.
`G`	A matrix containing all the inequality relations.
`H`	A vector containing the solutions to the inequality relations.
`sdB`	The vector containing the uncertainty of the B vector in terms of SD. A minimum, relative uncertainty of 0.1 percent is applied to all values (i.e. B value of 10+/-0 will be changed to +/- 0.01).
`iter`	The number of steps for the simulation to run for.
`outputlength`	The total number of output solutions to save for analysis. A solution is saved very iter/outputlength steps.
`burn.length`	The number of steps to take before starting to sample the solutions.
`jmp`	A measurement of length taken between steps. Smaller values yield a higher percentage of excepted solutions but slower convergence. Aim for a value which yields an acceptance ratio of ~0.234
`x0`	An inital solution to start from. Useful for restarting a simulation from a particular point.
`test`
`verbose`	A boolean switch to turn on or off the progress counter.