`stats`

Evaluate selected statistics of ARWM chain

Syntax

S = stats(pos, theta, logPost, ...)
S = stats(pos, fileName, [], ...)

pos [ poster ]

Posterior simulator object that has generated the theta chain.
theta [ numeric ]

MCMC chain generated by the poster/arwm function.
logPost [ numeric ]

Vector of log posterior densities generated by the arwm function; logPost is not necessary if you do not request mdd, the marginal data density.
fileName [ char ]

File name under which the simulated chain was saved when poster/arwm was run with options saveEvery=' and saveAs=.

MddGrid=0.1:0.1:0.9 [ numeric ]

Points between 0 and 1 over which the marginal data density estimates will be averaged, see Geweke (1999).
Progress=false [ true | false ]

Display progress bar in the command window.

Bounds= [ true | false ]

Return the lower and upper parameter bounds set up by the user.
Chain= [ true | false ]

Return the entire simulated chains of parameter values.
Cov= [ true | false ]

Return the sample covariance matrix.
'Hist=' [ numeric | empty ]

Return histogram bins and counts with the specified number of bins.
Hpdi= [ false | numeric ]

Return the highest probability density intervals with the specified percent coverage (e.g. 90% is entered as 90, not 0.90).
KsDensity= [ true | false | numeric ]

Return the x- and y-axis points for kernel-smoothed posterior density; use a numeric value to control the number of points over which the density is computed.

Mdd=true [ true | false ]

Return minus the log marginal data density.

Median=false [ true | false ]

Return the sample medians.

Mode=false [ true | false ]

Return the sample modes based on histograms.