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`

.

`pvcovHV`

is replaced by `vcovHC`

.

`detect_lin_dep`

is replaced by `detect.lindep`

.

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