Imports: LSDinterface (>= 0.3.1), stats, utils, graphics, tseries,
kSamples, abind, sensitivity, car, randtoolbox, parallel,

Imports: LSDinterface (>= 0.4.0), stats, utils, graphics, tseries,
kSamples, diptest, lawstat, abind, sensitivity, car,

Title: Sensitivity Analysis Tools for LSD Simulations
Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente (documentation and downloads available at <https://www.labsimdev.org/>).
Imports: LSDinterface (>= 1.1.0), stats, utils, graphics, tseries,
Packaged: 2021-09-22 22:00:40 UTC; mcpereira

Packaged: 2021-09-24 17:10:37 UTC; mcpereira

Packaged: 2021-09-28 14:53:27 UTC; mcpereira

Imports: LSDinterface (>= 1.2.0), stats, utils, graphics, tseries,

Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente and Marcelo C. Pereira (documentation and downloads available at <https://www.labsimdev.org/>).
Imports: LSDinterface (>= 1.2.1), stats, utils, graphics, tseries,

Title: Constrained Least Squares and Generalized QR Factorization
Author: Sergio Andrés Cabrera Miranda <https://orcid.org/0000-0002-8126-8521>, Juan Gabriel Triana Laverde <https://orcid.org/0000-0003-2991-6082>
Maintainer: Sergio Andrés Cabrera Miranda <sergio05acm@gmail.com>
Description: The solution of equality constrained least squares problem (LSE) is
given through four analytics methods (Generalized QR Factorization, Lagrange
Multipliers, Direct Elimination and Null Space method). We expose the
orthogonal decomposition called Generalized QR Factorization (GQR) and also RQ
factorization. Finally some codes for the solution of LSE applied in