Search Results:

Showing results 1 to 10 of 18.


Function solver-ampl [fPortfolio v3042.83.1]
keywords
optim
title
AMPL Interface
description
R/AMPL Interface functions.
Function solve-environment [fPortfolio v3042.83.1]
keywords
optim
title
Nonlinear Objective Presettings
description
Prests variables for Data, portfolioObjective, portfolioReturn, and portfolioRisk in the case of NL math programming of portfolios.
Function fit.effectivemass [hadron v3.1.2]
keywords
optim
title
Fits a constant to effective mass data
description
Performs a correlated fit of a constant to data generated with bootstrap.effectivemass.
Function fit.cosh [hadron v3.1.2]
keywords
optim
title
Fits a sum of several cosh-functions
description
Performs a correlated fit of a sum of several cosh-functions \(\sum_i a_i \cosh(m_i t)\) to data generated with bootstrap.effectivemass. Requires the same input and produces analogous output as fit.effectivemass. The fit itself is performed by bootstrap.nlsfit.
Function test_functions [hydroPSO v0.5-1]
keywords
optim
title
Test Functions for Global Optimisation
description
Test functions commonly used as benchmark for global optimisation problems
Function optim.boxcox [boxcoxmix v0.28]
keywords
optim
title
Response Transformations for Random Effect and Variance Component Models
description
The optim.boxcox() performs a grid search over the parameter lambda for overdispersed generalized linear models and variance component models and then optimizes over this grid, to calculate the maximum likelihood estimator of the transformation.
Function multi_optim [regsem v1.6.2]
keywords
optim
title
Multiple starts for Regularized Structural Equation Modeling
description
Multiple starts for Regularized Structural Equation Modeling
Function cv_regsem [regsem v1.6.2]
keywords
optim
title
The main function that runs multiple penalty values.
description
The main function that runs multiple penalty values.
Function regsem [regsem v1.6.2]
keywords
optim
title
Regularized Structural Equation Modeling. Tests a single penalty. For testing multiple penalties, see cv_regsem().
description
Regularized Structural Equation Modeling. Tests a single penalty. For testing multiple penalties, see cv_regsem().
Function count_occurrences [minMSE v0.3.1]
keywords
optim
title
Count of Equal Treatment Vectors
description
Checks if the treatment vector given as argument already exists in the dataframe, i.e., has been produced by one or more earlier iteration(s).