NEWS

Changes since version 0-1.2

	* Models with only one explanatory variable resulted in a
	bug. This has been fixed.

	* Estimation methods are now available with four functions : plm,
	pvcm, pggls and pgmm instead of one (plm) in the previous version.

	* pvcm is a new function which estimate variable coefficients
	models. The "nopool" model is now part of it.

	* pggls is a new function which enables the estimation of general
	FGLS.

	* pgmm is a new function for general method of moments estimator.

	* for all estimation functions, the first four arguments are now
	formula, data, effect, model

	* robust inference is now provided by the pvcovHC function.

Changes since version 0-2.1

	* pdata.frame is much faster thanks to a modification of the pvar
	function

	* series with only NA values or with constants values are now
	removed by pdata.frame

	* observations are ordered by id and time by pdata.frame

	* a pfix function is added to edit a pdata.frame

	* a as.data.frame function is provided to coerce a pdata.frame to
	a data.frame

	* the dependency to the Matrix package has been removed and pgmm
	is much faster now

	* phtest has been fixed to return only positive values of the
	statistic

	* pgmm objects now inherits from panelmodel like other estimators
	and prints correctly

	* a bug in summary.pgmm has been fixed

Changes since version 0-2.2

	* the coefficients method for objects of class pgmm is now
	exported.

	* a bug in the plm method of plmtest has been fixed

	* in plmtest, the argument effect "id" is renamed "individual"

	* three testing functions are added : pbsytest (Bera,
	Sosa-Escudero and Yoon test), pARtest (Breusch-Godfrey Test) and
	pDWtest (Durbin-Watson test), pwartest, pBGtest, pwtest pbltest

	* plm, pvcm and pggls now have arguments "subset" and "na.action"

	* phtest, pFtest, plmtest now have a formula method

	* a bug is fixed for the vcov of the within model

	* the pdata.frame function and class is suppressed. The package
	now use ordinary data.frames.

Changes since version 0-3.1

	* in plm.formula, [int.row.names] is replaced by
	[as.character(int.row.names)]

	* the degree of freedom for a within time effect model was wrong
	and has been corrected.

	* the arguments type and weights in pvcovHC.panelmodel are renamed
	method and type respectively. The default method (type in previous
	versions) is arellano and not white1

	* honda is now the default option for plmtest

Changes since version 0-3.2
	
	* a lot of typos of the man pages have been fixed

	* functions pcdtest, pcdres have been added.

	* for hausman taylor model, the summary now prints the variables
	and not the effects

	* the estimation of a model with only one explanatory variable
	using plm with method = "fd" is now working correctly

Changes since version 1-0.0

	* lag and diff methods for pseries are now exported and therefore
	behave correctly

	* for two-ways within models with instrumental variables, K is
	replaced by K+1 for the computation of the overall mean matrix of
	the instruments. Time fixef are now computed. The error message
	"impossible ..." is removed
	
	* a bug in the time random effect model is corrected
	
	* a model.matrix method for panelmodel is provided
	
	* models without intercept (-1 in the formula) should now be
	consistently estimated with plm, pggls and pvcm.
	
	* plm depends now on the Formula package which provides useful
	tools for formula with two parts


Changes since version 1-0.1
	
	* the plm function has been completely rewriten,

	* the names of some arguments have changed (random.methods ->
	ercomp, inst.method -> ivar), the old names are accepted with a
	warning,

	* the instuments argument is removed, instrumental variable
	estimation is performed using extended formula. The instruments
	argument is still accepted with a warning,

	* the model argument of plm objects are now ordinary data.frame,
	and not data.frame with elements y and X. Moreover, this
	data.frame contains untransformed data

	* the data sets which are relevant for panel data estimation that
	where previously in the Ecdat package are now in the plm package

	* in pvcm a bug when the estimation was made on a subset is fixed

	* ercomp is a stand alone function which returns the estimation of
	the components of the variance of the errors,
	
	* the estimation of two-ways within model is now implemented for
	unbalanced panels,

	* the fixef method is much improved, the fixed effects may be
	computed in levels, in deviation from the first level or in
	deviation from the overall mean

	* in pbsytest, the arguments test are now in lowercases,

	* the pvcovHC function is replaced by suitable vcovHC methods for
	panelmodel and pgmm models
	
Changes since version 1-1.0

	* in fixef, the effect argument default is now NULL:
	fixef(model_with_time_effect) now works correctly

	* in pFtest, the error message "the arguments should be a within
	and a pooling model" is removed so that two within models may be
	provided

	* for backward compatibility reasons, the pvcovHC is reintroduced.

	* for backward compatibility reasons, argument test of pbsytest
	may be indicated in upper case

	* we switched back to old names for two arguments of plm ercomp ->
	random.methods ivar -> inst.method -> ivar

	* amemiya method is not implemented for unbalanced panels: an
	error message is now returned.
 

Changes since version 1-1.1

	* part of the "details" section of the fixef.plm man page is
	removed

	* a fitted.value method is now available for plm objects. It
	returns the fitted values of the untransformed response
	
	* in pdiff, a drop=FALSE is added. This omission was responsible
	of a bug while estimating a model like plm(inv~value-1, data =
	Grunfeld, model = "fd")

	* the lev2var is changed so that it doesn't result in an error
	when the data.frame contains no factor: this was responsible for a
	bug in plm.ht

	
Changes since version 1-1.2

	* the inst directory was missing, it has been added again
	
Changes since version 1-1.3

	* a relevant error message is added when a within model is
	estimated with no time-varying variable

	* the formula method for dynformula objects is now exported

	* a misleading notation was corrected for plm.ht model

	* the definition of sigma2$id for unbalanced ht model is
	corrected, an harmonic mean of Ti being used

	* the definition of tss.default is simplified

	* the fitted.values element was missing for plm objects and has
	been added

Change since version 1-1.4

	* a args argument is added for plm objects, and the internal
	function relies now on it (and not on the call as previously)

	* more attention is paid when one of the estimated components of
	the variance is negative (warning or error messages result)

	* pdata.frame objects are re-introduced. They are used to compute
	model.frames. Extraction from pdata.frames results in 'pserie'
	objects which have an index attribute.

	* the print method of ercomp is now exported

	* the first argument of pgmm may now be a formula. A lag.form must
	be provided in this case
	
	* hausman-taylor estimation is now performed by the pht
	function. For backaward compatibility reasons, it is still
	possible to estimate this model with plm

Changes since version 1.2-0	

	* the as.matrix and print methods for pserie objects are now
	exported

	* in summary.plm, the p-value is now computed using a Student
	distribution and not a normal one

	* the lag.pserie method is modified so that it deals correctly
	with factors, and not only with numeric vectors. The diff.pserie
	method returns an error if its argument is not numeric

	* the instruments-"backward compatibility" stuff in plm is
	simplified thanks to the new features of Formula

	* 'pserie' is renamed 'pseries'

	* a THANKS file is added
	
	* the `[.pdata.frame` function is modified so that [, j] returns a
	pseries and not a pdata.frame when j is a single integer, and a
	backward compatibility feature is added for the "index" attribute

Changes since version 1.2-1

	* a new purtest function to perform unit root tests

	* [[.pdata.frame is modified so that NULL (and not an error
	message) is returned if an unknown column is selected

Changes since version 1.2-2

	* the documentation has been improved
	
	* the pvalue for purtest(..., type = "madwu") was in error (by a
	factor of 2)

	* in formula(dynformula), a bug is fixed so that the endog
	variable doesn't appear on the rhs if there is no lags

	* in pgmm, the extract.data has been rewriten and is *much* faster

	* two new functions vcovBK and vcovSCC have been added

	* a 'model' argument is added to pgmm.sys and pgmm.diff
	(previously, the model name was extracted from the call)

	* Kt is fixed to 0 in pgmm when effect="individual"
	
Changes since version 1.2-3
	
	* lag.pseries now returns relevant names for the returned factor
	
	* pFormula is modified so that it can handle correctly Formula
	object, and not only formula
	
	* pgmm has been completely rewriten with a new 'Formula'
	interface. Old formula and dynformula interfaces are kept for
	backward compatibility but won't be maintained in the future

	* subset, na.action are added to the list of arguments of pgmm and
	oldpgmm

	* lag.pseries is now able to deal with vector arguments for lags,
	e.g. lag(x, c(1,3))
	
	* suml(x) is replaced by Reduce("+", x)


Changes since version 1.2-4

	* bug corrected in pgmm : ud <- cbind(ud, td.gmm.level) is
	relevant only for twoways models

	* in fitted.plm, the extraction of the index is updated

	* the residuals.plm method now has a model argument

	* a new function r.squared

	* pmodel.response.plm is modified : no explicit effect and model
	arguments anymore (like in model.matrix.plm)
	
Changes since version 1.2-5

	* fixed error in pggls, model="within" (FEGLS). Added model="fd"
	(FDGLS).

	* changed dependency from kinship to bdsmatrix (as suggested by
	Terry Therneau after his reorganization of the packages).

	* fixed DESCRIPTION and NAMESPACE accordingly.

	* fixed the example in pggls.Rd


	
Changes since version 1.2-6

	* a bug in mtest for pgmm models with effect=individual and
	transformation=ld *and* for the wald test for time.dummies for
	model with effect = twoways and transformation=ld is fixed by
	modifying namest in gmm
	
	* there was a bug in pgmm for models with different lags for gmm
	instruments. The number of time-series lost is now the min (and
	not the max) of the first lags for gmm instruments

	* some parts of summmary.pgmm only worked correctly for model with
	time-dummies. It now deals correctly for model with 'individual'
	effects

	* the rda files are now compressed

	* p-values for the two-tailed versions of plmtest() were wrong and
	have been fixed. They were divided by 2 instead of multiplied.

	Changes since version 1.2-7
	
	* a typo is corrected in the man page of plm.data

	* AER is now suggested

Changes since version 1.2-8	

	* a index method is added for panelmodel, pdata.frame and pseries

	* a bug in the typology of the variables in pht is fixed

	* a bug in vcovBK (matrices degenerating into vectors) is fixed
	(thx David Hugh-Jones for bug report)

	* the Between function now returns a pseries object

	* the resid and fitted method now returns a pseries object

	* the pgmm method has been rewriten ; the data frame is then first
	balanced and NAs are then overwriten by 0s

Changes since version 1.2-9	

	* the pccep function, estimating CCEP models a la Pesaran, has
	been added together withsummary and print.summary methods. The
	function generates objects of a class of their own ("pccep"), much
	like 'pggls', together with 'panelmodel'.

	* the pmg function, estimating MG, DMG and CCEMG models a la
	Pesaran, has been added together with summary and print.summary
	methods. The function generates objects of a class of their own
	("pmg"), much like 'pggls', together with 'panelmodel'. In the
	future must consider possible merger with 'pvcm'.

        * the new cipstest function performs a second-generation CIPS test
	for unit roots on pseries objects

        * the new (hidden) function pmerge is used internally by cipstest
	to merge lags and differences of a pseries into the original
	pdata.frame. Will possibly be added to the user space in the
	future.

Changes since version 1.2-10
	
	* for unbalanced hausman-taylor model, the printing of the error
	components was wrong, it is now fixed
	
	* the printing of the removed variables (cst or NA) is improved

	* the pgmm function has been improved to deal correctly with holes
	in the cross-sections ; a collapse argument is added to limit the
	number of gmm instruments

	* the CoefTAble element of summary.pgmm objects is renamed
	coefficients, so that it can easily be extracted using the coef
	method

	* the default value for robust is now TRUE in the summary.pgmm
	method

	* a new argument lost.ts is added in pgmm to select manually the
	number of lost time series

	* almost null columns of instruments are removed (this happens
	when within/between transformation is performed on between/within
	series

	* plm now accept three part formulas, the last part being for
	instruments introduced only in the within form

	* the predict method for panelmodel objects is now exported

	* plm now estimate systems of equations if a list of formulas is
	provided as the first argument

Changes since version 1.3-0

	* an update method for panelmodel objects is provided
	
	* the Wages example is removed from the pvar man page because it's time consuming
	
	
Changes sinve version 1.3-1

	* a subset argument is added to print.summary.plm and summary.pht
	so that a subset of coefficient may be selected

	* fixed a small problem on the printing of the typologie of the
	variables for pht models
	
	* the "name" of the tests is now the formula truncated so that it
	prints on only one line
	
	* restrict.matrix argument added to deals with linear restrictions

	* a vcov argument is added to summary.plm so that a variance matrix can be supplied

	* the deviance method for panelmodel objects is now exported (12/02)

	* the hausman-taylor now support the Amemiya MaCurdy and the Breush-Mizon-Schmidt version

	* a small bug is fixed on the var2lev function to deal the case when there are no factors
	

Changes since version 1.4-0 

	* substituted vcovHC, vcovSCC with the new framework based on vcovG and wrapper functions


Changes since version 1.5-0 

	* added generic building block and high-level wrappers vcovNW and vcovDC to the namespace

	* dataset Parity added to /data

	
Changes since version 1.5-1

	* fixed "already a pdata.frame" bug in pcdtest.formula 

        * implemented fixef() method for objects estimated by pggls()
 

Changes since version 1.5-3

	* reintroduced plm.data eliminated by mistake 


Changes since version 1.5-4

	* fixed testErrors.R with plm.data instead of pdata.frame 


Changes since version 1.5-5

	* fixed bug affecting vcovG on unbalanced datasets (thx Liviu Andronic) from propagation of NAs in final by-group matrix multiplication  

Changes since version 1.5-6

	* pruned 'require' calls to 'lmtest', 'car', 'lattice and substituted them with proper entries in NAMESPACE

	* temporarily commented problematic examples in pbgtest and pdwtest

Changes since version 1.5-8

	* fixed bugs in pdwtest

Changes since version 1.5-9

	* fixed bug in vcovG for lagged White terms (make pseudo-diagonal in E(u,v)); affected vcovNW
	
	* documentation updates (mostly text books of Baltagi and Wooldridge to latest edition,
	  references are also more specific now)
	  
	* pbgtest: fixed/enabled type="F" (F test of lmtest::bgtest) in wrapper pbgtest() and
	  fixed/enabled passing of argument order.by= [additional argument in
	  lmtest::bgtest] [tests/testpbgtest.R added, docs updated and extended]
	
	* phtest( , method="aux") [Hausman regression-based test]: fixed bug when data= contains more cases than
	  there are used in model estimation (due to NA values); avoid calc. of RE model a second time;
	  phtest now also works with between model correctly (fixed degrees of freedom)
	  tests/test_phtest_Hausman_regression.R added
	  
	* plm(): original row names of inputted data are preserved in plm_object$model,
	  so functions like pmodel.response(), model.frame(), model.matrix(), residuals()
	  return the original row.names (and thus fancy rownames if those were to be computed by pdata.frame);
	  as.data.frame.pdata.frame(): respects row.names argument

Changes since version 1.5-11

	* added RiceFarms to datasets to eliminate non-CRAN dependencies, (temporarily) removed 'pder' from suggested, uncommented (fixed) example in pdwtest.Rd

Changes since version 1.5-12

	* added importFrom as per CRAN check for submission.