complete.series: Complete relatively large holes in data-sets
In vetools: Tools for Venezuelan Environmental Data

Description Usage Arguments Details Value Note Author(s) See Also Examples

This functions completes relatively large holes in monthly time-series objects.

1 2	complete.series(collection, model, k.ubic = NA, centers = 3, nstart = 3, weps = 0.05, MAX.ITER = 100, AEM.debug = T)

`collection`	A list of class `Catalog` that contains the objects to complete.
`model`	A list of fixed-effects models related to `collection$data`.
`k.ubic`	A data.frame of exactly one member `k.ubic$cluster` which is a scalar vector of length equal to `collection$data` and specifying to which cluster belongs to each element of the list `collection$data`.
`centers`	If `k.ubic` is unavailable, this sets the quantity of clusters to build.
`nstart`	If `k.ubic` is unavailable, then this parametre sets the initial quantity of center with which to start the k-means algorithm.
`weps`	Tolerance for the E-M Algorithm.
`MAX.ITER`	Maximum number of iterations for the E-M Algorithm.
`AEM.debug`	Logical flag indicating if verbosity is required.

The main idea behind this functions is to complete the time-series of the list by first clustering similar stations and then applying to each cluster the E-M Algorithm in order to complete the series. The E-M Algorithms is an iterative method that in each iteration performs two tasks: fist estimates the expected values and then maximizes their likelyhood. This goes on util some stopping criteria is meat.

Returns a completed version of collection (collection$data).

The current implementation is known to have problems. The iterative proccess not always converges. It is also known that the E-M has been surpassed by other methods and it would be desireble to replace it.

A. Jhan, fixed-up by A.M. Sajo-Castelli.

fill.small.missing

## Not run: 
for (k in 1:15) {
        fit[[k]] = lm(collection$data[[k]] ~ ZZ - 1, singular.ok=T, na.action=na.omit)
}
collection.completed = complete.series(collection, fit)
## End(Not run)