Description Usage Arguments Details
dynformula
, pht
, plm.data
, and pvcovHC
are
deprecated functions which could be removed from plm in a near future.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | pvcovHC(x, ...)
plm.data(x, indexes = NULL)
dynformula(formula, lag.form = NULL, diff.form = NULL, log.form = NULL)
## S3 method for class 'dynformula'
formula(x, ...)
## S3 method for class 'dynformula'
print(x, ...)
pFormula(object)
## S3 method for class 'pFormula'
as.Formula(x, ...)
## S3 method for class 'pFormula'
as.Formula(x, ...)
## S3 method for class 'pFormula'
model.frame(formula, data, ..., lhs = NULL, rhs = NULL)
## S3 method for class '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,
...
)
detect_lin_dep(object, ...)
|
... |
further arguments. |
indexes |
a vector (of length one or two) indicating the (individual and time) indexes (see Details); |
formula |
a formula, |
lag.form |
a list containing the lag structure of each variable in the formula, |
diff.form |
a vector (or a list) of logical values indicating whether variables should be differenced, |
log.form |
a vector (or a list) of logical values indicating whether variables should be in logarithms. |
object, x |
an object of class |
data |
a |
lhs |
see Formula |
rhs |
see Formula |
model |
see plm |
effect |
see plm |
theta |
the parameter of transformation for the random effect model |
cstcovar.rm |
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
is replaced by detect.lindep
.
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