dynformula
, pht
, plm.data
, and pvcovHC
are
deprecated functions which could be removed from plm in a near future.
pvcovHC(x, ...)plm.data(x, indexes = NULL)
dynformula(formula, lag.form = NULL, diff.form = NULL, log.form = NULL)
# S3 method for dynformula
formula(x, ...)
# S3 method for dynformula
print(x, ...)
pFormula(object)
# S3 method for pFormula
as.Formula(x, ...)
# S3 method for pFormula
as.Formula(x, ...)
# S3 method for pFormula
model.frame(formula, data, ..., lhs = NULL, rhs = NULL)
# S3 method for pFormula
model.matrix(
object,
data,
model = c("pooling", "within", "Between", "Sum", "between", "mean", "random", "fd"),
effect = c("individual", "time", "twoways", "nested"),
rhs = 1,
theta = NULL,
cstcovar.rm = NULL,
...
)
further arguments.
a vector (of length one or two) indicating the (individual and time) indexes (see Details);
a formula,
a list containing the lag structure of each variable in the formula,
a vector (or a list) of logical values indicating whether variables should be differenced,
a vector (or a list) of logical values indicating whether variables should be in logarithms.
an object of class "plm"
,
a data.frame
,
see Formula
see Formula
see plm
see plm
the parameter of transformation for the random effect model
remove the constant columns or not
dynformula
was used to construct a dynamic formula which was the
first argument of pgmm
. pgmm
uses now multi-part formulas.
pht
estimates the Hausman-Taylor model, which can now be estimated
using the more general plm
function.
plm.data
is replaced by pdata.frame
.
pvcovHC
is replaced by vcovHC
.
detect_lin_dep
was renamed to detect.lindep
.