Time Series Factor Analysis

Extraction of Factors from Multivariate Time Series. See ?00tsfa-Intro for more details.


News

Changes in tsfa version 2014.10-1

o Adjustments for additional NAMESPACE checking in R-3.1.2.

Changes in tsfa version 2014.2-2

o Removed generic loadings() since the only remaining method was doing the same thing as the default.

Changes in tsfa version 2014.2-1

o Changed tfplot.TSFfactors for changes to tfplot generic and default.

o Cleaned up imports and NAMESPACE.

Changes in tsfa version 2012.4-1

o Added tfplot to Depends.

Changes in tsfa version 2011.11-1

o Updated maintainer email address.

Changes in tsfa version 2011.3-1

o Changed periods() and tfperiods() to Tobs() to be consistent with changes in tframe.

Changes in tsfa version 2009.10-1

o Standardized NEWS format for new function news().

o Fixed a few documentation problems found by R-2.10.0 (beta) quality checks.

Changes in tsfa version 2009.2-1

o added check that CDNmoney is available in tests and examples.

o minor changes corresponding to small changes in tframe.

o update Erik Meijer's email address.

o small fixed in vignettes to properly produce graphs, and missed changes related rationalization of object structures.

o replaced reference to non-existent indicatorNames() in explained.FAmodel and summary.FAmodel.

o NEWS file 2006.x-x was corrected to indicate 2007.5-1.

Changes in tsfa version 2007.5-1

o small changes related to changes in tframe were necessary.

o demos SOM-2005.R and WP-2006-3.R were added.

o the number of parameters in the calculation of fit statistics for the saturated model was fix for the possibility that the Lederman bound may not be an integer.

o object structure was rationalized. TSFestModel is now gone, and the estimation sub-object is an optional $stats element in the FAmodel object. One important aspect of this is that $model$estConverged and $model$rotationtConverged are now $stats$estConverged and $stats$rotationtConverged. FAmodel does not have factors, but fFAmodel extends it by including factors, and TSFmodel extends fFAmodel by including time associated pieces (tframe and diff). The fFAmodel is experimental and not extensively used yet, but there is a fair amount code already committed to having factors in the TSFmodel as an extension of an FAmodel.

o argument methodArgs changed to rotationArgs in several functions, for improved clarity.

o added estimation function estFAmodel using Sigma rather than data (and so does not return factor predictions). This also provides estimation for non-time-series factor models (FAmodel objects).

o estTSF.ML re-organized to call estFAmodel using Sigma then add factor predictions.

o changed estTSF.ML to call rotation by name rather than GPFoblq, so othogonal rotations are now possible. (See rotation names in GPArotations.)

o changed permusign to have default Phi of NULL, rather than I, which is more consistent with GPForth for orthogonal rotations.

o eps and maxit were not being passed from estTSF.ML to GPFoblq.

o The Bartlett prediction calculation in estTSF.ML was converted to use a more robust computation, which works better when there are more indicators and possible problems of near singular computations.

o Methods for tfplot were changed so that adding the Title can be turned off using a global option setting PlotTitles=FALSE.

o is.R() and some code related to possibly running in Splus was removed. (The package has never been tested in Splus.)

o fixed a problem with tsfa tfplot method for monte carlo class.

Reference manual

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install.packages("tsfa")

2014.10-1 by Paul Gilbert, 4 years ago


http://tsanalysis.r-forge.r-project.org/


Browse source code at https://github.com/cran/tsfa


Authors: Paul Gilbert and Erik Meijer <[email protected]>


Documentation:   PDF Manual  


Task views: Econometrics, Empirical Finance, Multivariate Statistics, Time Series Analysis


GPL-2 license


Imports setRNG, tframe, tfplot

Depends on GPArotation, dse, EvalEst

Suggests CDNmoney, MASS


See at CRAN