storeControl {IMIFA}

Set storage values for use with the IMIFA family of models

Description

Supplies a list of values for logical switches indicating whether parameters of interest (means, scores, loadings, uniquenesses, and mixing proportions) should be stored when running models from the IMIFA family via mcmc_IMIFA. It may be useful not to store certain parameters if memory is an issue.

Usage

storeControl(mu.switch = TRUE,
             score.switch = TRUE,
             load.switch = TRUE,
             psi.switch = TRUE,
             pi.switch = TRUE,
             update.mu = mu.switch,
             ...)

Arguments

mu.switch

Logical indicating whether the means are to be stored (defaults to TRUE).

score.switch

Logical indicating whether the factor scores are to be stored.

As the array containing each sampled scores matrix tends to be amongst the largest objects to be stored, this defaults to FALSE inside mcmc_IMIFA when length(range.G) * length(range.Q) > 10, otherwise the default is TRUE. For the "MIFA", "OMIFA", and "IMIFA" methods, setting this switch to FALSE also offers a slight speed-up.

Unlike other parameters, the scores need not be stored for posterior predictive checking (see Note below).

load.switch

Logical indicating whether the factor loadings are to be stored (defaults to TRUE).

psi.switch

Logical indicating whether the uniquenesses are to be stored (defaults to TRUE).

pi.switch

Logical indicating whether the mixing proportions are to be stored (defaults to TRUE).

update.mu

Logical indicating whether the means should be updated. Only relevant for the "FA" and "IFA" methods when centering=TRUE in mixfaControl, otherwise means are always updated. Setting update.mu=FALSE forces mu.switch to FALSE, but mu.switch=FALSE can still be used in conjunction with update.mu=TRUE.

...

Catches unused arguments.

Details

storeControl is provided for assigning values for IMIFA models within mcmc_IMIFA. It may be useful not to store certain parameters if memory is an issue (e.g. for large data sets or for a large number of MCMC iterations after burnin and thinning).

Value

A named vector in which the names are the names of the storage switches and the values are logicals indicating whether that parameter is to be stored. The list also contains as an attribute a logical for each switch indicating whether it was actually supplied (TRUE) or the default was accepted (FALSE).

Note

Posterior inference and plotting won't be possible for parameters not stored.

Non-storage of parameters will almost surely prohibit the computation of posterior predictive checking error metrics within get_IMIFA_results also. In particular, if such error metrics are desired, psi.switch must be TRUE for all but the "FA" and "IFA" models, mu.switch must be TRUE except in situations where update.mu=FALSE is allowed, load.switch must be TRUE for all but the entirely zero-factor models, and pi.switch must be TRUE for models with clustering structure and unequal mixing proportions for all but the PPRE metric. score.switch=TRUE is not required for any posterior predictive checking.

If post-hoc adaptation is invoked in get_IMIFA_results on a model fitted without adaptation, store.switch=TRUE is not required unless active.crit="SC" (for "IFA" models only); load.switch=TRUE is required for both active.crit="BD" and active.crit="SC".

Finally, if loadings are not stored but scores are, caution is advised when examining posterior scores as Procrustes rotation will not occur within get_IMIFA_results.

Author(s)

Keefe Murphy - <[e-mail]>

See Also

mcmc_IMIFA, get_IMIFA_results, mixfaControl, mgpControl, bnpControl

Examples

stctrl <- storeControl(score.switch=FALSE)

# data(olive)
# sim  <- mcmc_IMIFA(olive, "IMIFA", n.iters=5000, storage=stctrl)

# Alternatively specify these arguments directly
# sim  <- mcmc_IMIFA(olive, "IMIFA", n.iters=5000, score.switch=FALSE)