are implemented.  An introduction and User's Guide is available

The ARMA model representation is general, so that VAR, VARX,

horizons. The ARMA model representation is general, so that VAR, VARX,

Title: Dynamic Systems Estimation (Time Series Package)
Description: Tools for multivariate, linear, time-invariant,
time series models. This includes ARMA and state-space representations,
Imports: tframe (>= 2007.5-3), stats, utils, graphics, grDevices,

Contains: syskern tframe dse1 dse2 dsepadi monitor juice curve

Title: DSE (unbundled transition package).
Description: This package is only to aid transition to the unbundled
dse package. It has no functions, but simply requires package

Description: This package is only to aid transition to the unbundled dse
package. It has no functions, but simply requires package EvalEst.

BundleDescription: Multivariate Time Series Library - Extensions

Contains: juice curve syskern dsepadi monitor

Contains: juice curve syskern padi dsepadi monitor
Packaged: Sun Oct 10 10:13:35 2004; paul

Packaged: Wed Apr 14 20:55:48 2004; paul

Packaged: Mon Jan  3 18:48:16 2005; paul

Packaged: Wed Apr 27 09:41:12 2005; paul

Packaged: Thu Jun 23 21:43:17 2005; paul

Contains: syskern padi dsepadi monitor juice curve
Packaged: Sun Sep 11 16:47:08 2005; paul

Packaged: Tue Jan 10 22:42:31 2006; paul

Packaged: Wed Oct  4 22:30:14 2006; paul

Packaged: Thu Apr 13 22:30:18 2006; paul

Title: Distributional Stochastic Frontier Analysis
Description: Framework to fit distributional stochastic frontier models. Casts the stochastic frontier model into the flexible framework of distributional regression or otherwise known as General Additive Models of Location, Scale and Shape (GAMLSS). Allows for linear, non-linear, random and spatial effects on all the parameters of the distribution of the output, e.g. effects on the production or cost function, heterogeneity of the noise and inefficiency. Available distributions are the normal-halfnormal and normal-exponential distribution. Estimation via the fast and reliable routines of the 'mgcv' package. For more details see Schmidt R, Kneib T (2022) <doi:10.48550/arXiv.2208.10294>.
Imports: mgcv, sn, gratia, graphics, stats, copula, numDeriv, Rdpack