S = stats(Pos,Theta,...)
S = stats(Pos,Theta,LogPost,...)
S = stats(Pos,FName,...)
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.
FName
[ char ] - File name under which the simulated chain was saved when poster/arwm
was run with options saveEvery=
' and 'saveAs='
.
S
[ struct ] - Struct with the statistics requested by the user.'estTime='
[ true
| false
] - Display and update the estimated time to go in the command window.
'mddGrid='
[ numeric | 0.1:0.1:0.9
] - Points between 0 and 1 over which the marginal data density estimates will be averaged, see Geweke (1999).
'progress='
[ true
| false
] - Display progress bar in the command window.
'bounds='
[ true
| false
] - Include in S
the lower and upper parameter bounds set up by the user.
'chain='
[ true
| false
] - Include in S
the entire simulated chains of parameter values.
'cov='
[ true
| false
] - Include in S
the sample covariance matrix.
'hist=
' [ numeric | empty ] - Include in S
histogram bins and counts with the specified number of bins.
'hpdi='
[ false
| numeric ] - Include in S
the highest probability density intervals with the specified percent coverage (e.g. 90% is entered as 90
, not 0.90
).
'ksdensity='
[ true
| false
| numeric ] - Include in S
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
| false
] - Include in S
minus the log marginal data density.
'mean='
[ true
| false
] - Include in S
the sample averages.
'median='
[ true
| false
] - Include in S
the sample medians.
'mode='
[ true
| false
] - Include in S
the sample modes based on histograms.
'prctile='
[ numeric | empty ] - Include in S
the specified percentiles.
'std='
[ true
| false
] - Include in S
the sample std deviations.