| check_conv {simlandr} | R Documentation |
Graphical diagnoses to check if the simulation converges
Description
Compare the distribution of different stages of simulation (for plot_type == "bin" or plot_type = "density"), or show how the percentiles of the distribution evolve over time (for plot_type == cumuplot, see coda::cumuplot() for details). More convergence checking methods for MCMC data are available at the coda package. Be cautious: each convergence checking method has its shortcomings, so do not blindly use any results as the definitive conclusion that a simulation converges or not.
Usage
check_conv(output, vars, sample_perc = 0.2, plot_type = "bin")
## S3 method for class 'check_conv'
print(x, ask = TRUE, ...)
Arguments
output |
A matrix of simulation output. |
vars |
The names of variables to check. |
sample_perc |
The percentage of data sample for the initial, middle, and final stage of the simulation. Not required if |
plot_type |
Which type of plots should be generated? ("bin", "density", or "cumuplot" which uses |
x |
The object. |
ask |
Ask to press enter to see the next plot? |
... |
Not in use. |
Value
A check_conv object that contains the convergence checking result(for plot_type == "bin" or plot_type = "density"), or draw the cumuplot without a return value (for plot_type == cumuplot).
Methods (by generic)
-
print(check_conv): Print acheck_convobject.