THIS IS THE CHANGELOG OF THE "systemfit" PACKAGE
Please note that only the most significant changes are reported here.
A full ChangeLog is available in the log messages of the SVN repository
on R-Forge.
CHANGES IN VERSION 1.1-20 (2017-03-09)
* users can now use pdata.frame() (in addition to plm.data()) to specify the
panel structure of (panel) data sets (patch provided by Kevin Tappe -- thanks
a lot!) [note: the use of plm.data() is deprecated]
CHANGES IN VERSION 1.1-18 (2015-08-27)
* added argument 'residCovDiag' to logLik.systemfit()
* improved documentation of logLik.systemfit():
* slightly improved documentation of systemfit():
* imported functions from packages 'methods' and 'stats' (as indicated
by 'R CMD check --as-cran' when using R-devel)
CHANGES IN VERSION 1.1-16 (2015-06-08)
* fixed a few minor issues pointed out by 'R CMD check'
CHANGES IN VERSION 1.1-14 (2012-11-17)
* added (incomplete) estfun() method (from the "sandwhich" package) for
objects of class "systemfit" (currently, the residual covariance matrix is
always assumed to be the identity matrix, although this is only true for
OLS estimations!); therefore, the sandwich package is now "imported"
* changed dependency ("Imports") from "stats (>= 2.15.0)" to "stats (>= 2.14.0)"
CHANGES IN VERSION 1.1-12 (2012-06-02)
* added nobs() method for objects of class "systemfit"
CHANGES IN VERSION 1.1-10 (2011-11-11)
* slightly revised the package vignette so that it works with version 2.0
of the "sem" package
CHANGES IN VERSION 1.1-8
* the systemfit package now works with version 2.0 of the "car" package
(linear.hypothesis() has been renamed as linearHypothesis())
CHANGES IN VERSION 1.1-6
* the logLik method now uses the average number of non-NA observations per
equation (instead of the number of rows of the residual matrix, which might
include NAs) to calculate the log-likelihood value: hence, the likelihood value
is correct now even if there are NAs in the data; the calculation of the
log-likelihood value for unbalanced systems uses the conditional density
function for the unbalanced observations assuming that the errors of
not-included observations are zero (the log-likelihood value was incorrect
before if there were NAs in the data)
* the logLik() method now takes the number of (linearly independent)
coefficients from element "rank" to calculate the degrees of freedom, because
this is correct even if there are NAs in the data (it was incorrect before if
there were NAs in the data)
* the logLik() method now returns (as attribute "nobs") the correct number of
observations even if there are NAs in the data (it was incorrect before if there
were NAs in the data)
CHANGES IN VERSION 1.1-4
* model.matrix.systemfit.equation() now returns a matrix (and not a vector)
even if the equation has only one regressor (including the constant);
this fixes bugs in model.matrix.systemfit() and predict.systemfit()
that occured if (at least) one equation has only one regressor
CHANGES IN VERSION 1.1-2
* the subfolder "tests" and the test scripts in this subfolder are no longer
included in the R package in order to reduce the time for checking
this package on CRAN
CHANGES IN VERSION 1.1-0
* added a NAMESPACE file
* the returned fitted values, residuals, and the model frame include *all*
observations now, where fitted values and residuals of observation
that were not included in the estimation are NA
* systemfit can estimate systems of equations with unequal numbers
of observations now
CHANGES IN VERSION 1.0-4
* added our JSS paper about systemfit as a vignette
CHANGES IN VERSION 1.0-0 AND BEFORE
* please take a look at the log messages of the SVN repository on R-Forge