rlsm: R package for least squares Monte Carlo

Development of a Monte Carlo – Library Least- Squares (mclls) Code Package for the Edxrf Inverse Problem

The Monte Carlo – Library Least-Squares (MCLLS) approach has now been developed, implemented, and tested for solving the inverse problem of EDXRF sample analysis. It consists of a linear library least-squares (LLS) code and a comprehensive Monte Carlo code named CEARXRF that is capable of calculating the unknown sample spectrum, all the elemental library spectra in the sample, and the different...

Algorithm: Arfit | a Matlab Package for Estimation and Spectral Decomposition of Multivariate Autoregressive Models

ARfit is a collection of Matlab routines for modeling multivariate time series by autoregressive (AR) models. It provides tools for all stages of the model identiication process: statistics that aid in the selection of the model order, fast algorithms for least squares estimation of parameters, modules that produce approximate conndence regions for the estimated parameters, and routines for dia...

Structured Additive Regression Models: An R Interface to BayesX

Structured additive regression (STAR) models provide a flexible framework for modeling possible nonlinear effects of covariates: They contain the well established frameworks of generalized linear models (GLM) and generalized additive models (GAM) as special cases but also allow a wider class of effects, e.g., for geographical or spatio-temporal data, allowing for specification of complex and re...

Gyration Radius and Energy Study at Different Temperatures for Acetylcholine Receptor Protein in Gas Phase by Monte Carlo, Molecular and Langevin Dynamics Simulations

The determination of gyration radius is a strong research for configuration of a Macromolecule. Italso reflects molecular compactness shape. In this work, to characterize the behavior of theprotein, we observe quantities such as the radius of gyration and the average energy. We studiedthe changes of these factors as a function of temperature for Acetylcholine receptor protein in gasphase with n...

Controlling for Common Method Variance with Partial Least Squares Path modeling: A Monte Carlo Study