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R: Constrained Optimization Problem
cop {optiSolve} R Documentation Constrained Optimization Problem Description Define a constrained optimization problem with a linear, quadratic, or rational objective function, and linear, quadratic...
/CRAN/refmans/optiSolve/html/cop.html
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R: Log-Binomial Regression with Constrained Optimization
...Constrained Optimization Documentation for package ‘lbreg’ version 1.3 DESCRIPTION file. Package NEWS. Help Pages lbreg-package Log-Binomial Regression with Constrained Optimization Birth Birth...
/CRAN/refmans/lbreg/html/00Index.html
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R: Spherically Constrained Optimization Routine
...Constrained Optimization Routine Documentation for package ‘SCOR’ version 1.1.2 DESCRIPTION file. Help Pages AL Alzheimer's disease neuropsychometric marker dataset estimate_EHUM Empirical Hyper...
/CRAN/refmans/SCOR/html/00Index.html
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R: Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization
Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization Documentation for package ‘orthoDr’ version 0.6.8 DESCRIPTION file. Package NEWS. Help Pages CP_SIR Counting...
/CRAN/refmans/orthoDr/html/00Index.html
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R: Log-Binomial Regression with Constrained Optimization
...Constrained Optimization Description Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space. Package lbreg performs...
/CRAN/refmans/lbreg/html/lbreg-package.html
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R: Orthogonality constrained optimization
...constrained optimization Description A general purpose optimization solver with orthogonality constraint. The orthogonality constrained optimization method is a nearly direct translation from Wen...
/CRAN/refmans/orthoDr/html/ortho_optim.html
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R: Constrained Optimization on Linear Function
Constrained Optimization on Linear Function Documentation for package ‘colf’ version 0.1.3 DESCRIPTION file. User guides, package vignettes and other documentation. Help Pages coef.colf_nlxb...
/CRAN/refmans/colf/html/00Index.html
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R: SCOR: Spherically Constrained Optimization Routine
...SCOR: Spherically Constrained Optimization Routine Description A non convex optimization package that optimizes any function under the criterion, combination of variables are on the surface of a unit...
/CRAN/refmans/SCOR/html/SCOR-package.html
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R: Spherically Constrained Optimization
...Spherically Constrained Optimization Description SCOptim runs our optimization algorithm, efficient in estimating maximizing Hyper Volume Under Manifolds Estimators. Usage SCOptim( x0, func, rho = 2...
/CRAN/refmans/SCOR/html/SCOptim.html
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R: Equality-constrained optimization
...-constrained optimization Description Sequentially Unconstrained Maximization Technique (SUMT) based optimization for linear equality constraints. This implementation is primarily intended to be called...
/CRAN/refmans/maxLik/html/sumt.html
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R: Solve a Constrained Optimization Problem
solvecop {optiSolve} R Documentation Solve a Constrained Optimization Problem Description Solve a constrained optimization problem with a linear, quadratic, or rational objective function, and linear...
/CRAN/refmans/optiSolve/html/solvecop.html
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R: Model-based Constrained Optimization (MBCO) Chi-squared Test
...Constrained Optimization (MBCO) Chi-squared Test Description This function computes asymptotic MBCO chi-squared test for a smooth function of model parameters including a function of indirect effects.
/CRAN/refmans/RMediation/html/mbco.html
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R: Constrained Optimization by Linear Approximations
...Constrained Optimization by Linear Approximations Description COBYLA is an algorithm for derivative-free optimization with nonlinear inequality and equality constraints (but see below). Usage cobyla...
/CRAN/refmans/nloptr/html/cobyla.html
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R: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
...Constrained Optimization Problems Documentation for package ‘flacco’ version 1.8 DESCRIPTION file. User guides, package vignettes and other documentation. Package NEWS. Help Pages BBOBImport Shiny...
/CRAN/refmans/flacco/html/00Index.html
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R: Constrained optimization of portfolios
...Constrained optimization of portfolios Description This function aims to provide a wrapper for constrained optimization of portfolios that specify constraints and objectives. Usage optimize...
/CRAN/refmans/PortfolioAnalytics/html/optimize.portfolio.html
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R: Linearly Constrained Optimization
...Linearly Constrained Optimization Description Minimise a function subject to linear inequality constraints using an adaptive barrier algorithm. Usage constrOptim(theta, f, grad, ui, ci, mu = 1e-04...
/R/refmans/stats/html/constrOptim.html
r-help matching:
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R: Register curves using constrained optimization and GFPCA
register_fpca {registr} R Documentation Register curves using constrained optimization and GFPCA Description Function combines constrained optimization and GFPCA to estimate warping functions...
/CRAN/refmans/registr/html/register_fpca.html
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R: GLM class
When there is no intercept, all parameters are set to zero, and the results need to be understood in terms of EL class since no constrained optimization is involved. Once the solution is found...
/CRAN/refmans/melt/html/GLM-class.html
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R: QGLM class
...QGLM class Description S4 class for generalized linear models with quasi-likelihood methods. It inherits from GLM class. Details The overall test involves a constrained optimization problem. All...
/CRAN/refmans/melt/html/QGLM-class.html
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R: LM class
...S4 class for linear models with empirical likelihood. It inherits from CEL class. Details The overall test involves a constrained optimization problem. All the parameters except for the intercept are...
/CRAN/refmans/melt/html/LM-class.html
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R: ELT class
...the (constrained) optimization problem. lambda A numeric vector of the Lagrange multipliers of the dual problem corresponding to par. iterations A single integer for the number of iterations performed.
/CRAN/refmans/melt/html/ELT-class.html
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R: CEL class
...slot has constrained optimization results with respect to the parameters, not the Lagrange multiplier. Details Let l(\theta) denote minus twice the empirical log-likelihood ratio function. We consider...
/CRAN/refmans/melt/html/CEL-class.html
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R: Linear, Quadratic, and Rational Optimization
...into equivalent formulations and solved by the respective package. For example, quadratic programming problems with linear, quadratic and rational constraints can be solved by augmented Lagrangian...
/CRAN/refmans/optiSolve/html/optiSolve-package.html
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R: SummaryELT class
...SummaryELT class Description S4 class for a summary of ELT objects. Slots optim A list of the following optimization results: par A numeric vector of the solution to the (constrained) optimization...
/CRAN/refmans/melt/html/SummaryELT-class.html
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R: Linear, Quadratic, and Rational Optimization
...Functions cop Constrained Optimization Problem lbcon Lower Bounds lincon Linear Constraints linfun Linear Objective Function myQ Kinship Matrix myQ1 Kinship Matrix myQ2 Kinship Matrix optiSolve Linear...
/CRAN/refmans/optiSolve/html/00Index.html
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R: BFGS, conjugate gradient, SANN and Nelder-Mead Maximization
...BFGS, conjugate gradient, SANN and Nelder-Mead Maximization Description These functions are wrappers for optim, adding constrained optimization and fixed parameters. Usage maxBFGS(fn, grad=NULL, hess...
/CRAN/refmans/maxLik/html/maxBFGS.html
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R: SummaryLM class
...term or not. na.action Information returned by model.frame on the special handling of NAs. call A matched call. terms A terms object used. aliased A named logical vector showing if the original...
/CRAN/refmans/melt/html/SummaryLM-class.html
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R: SummaryGLM class
SummaryGLM-class {melt} R Documentation SummaryGLM class Description S4 class for a summary of GLM objects. It inherits from SummaryLM class. Slots family A family object used. dispersion A single...
/CRAN/refmans/melt/html/SummaryGLM-class.html
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R: SummaryQGLM class
SummaryQGLM-class {melt} R Documentation SummaryQGLM class Description S4 class for a summary of QGLM objects. It inherits from SummaryGLM class. Slots family A family object used. dispersion A single...
/CRAN/refmans/melt/html/SummaryQGLM-class.html
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R: Validate a Solution
...validate(op, sol, quiet=FALSE, tol=0.0001) Arguments op The constrained optimization problem defined with function cop. sol The solution of the optimization problem obtained with function solvecop.
/CRAN/refmans/optiSolve/html/validate.html
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R: Sequential constrained Expected Improvement maximization and...
...Executes nsteps iterations of EGO methods integrating constraints, based on objects of class km. At each step, kriging models are re-estimated (including covariance parameters re-estimation) based on...
/CRAN/refmans/DiceOptim/html/EGO.cst.html
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R: Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios
Code demos. Use demo() to run them. Help Pages A B C D E F G H I L M N O P Q R S T U V W PortfolioAnalytics-package Numeric methods for optimization of portfolios -- A -- ac.ranking Asset Ranking add...
/CRAN/refmans/PortfolioAnalytics/html/00Index.html
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R: orthoDr: Semi-Parametric Dimension Reduction Models Using...
...Constrained Optimization Description Utilize an orthogonality constrained optimization algorithm of Wen & Yin (2013) doi:10.1007/s10107-012-0584-1 to solve a variety of dimension reduction problems...
/CRAN/refmans/orthoDr/html/orthoDr-package.html
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R: Optimization Interface (continuous, bounded)
...fashioned like the optim function. Unlike optim, it collects a set of bound-constrained optimization algorithms with local as well as global approaches. It is, e.g., used in the CEGO package to solve...
/CRAN/refmans/CEGO/html/optimInterface.html
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R: Spark ML - Logistic Regression
...fit_intercept = TRUE, elastic_net_param = 0, reg_param = 0, max_iter = 100, threshold = 0.5, thresholds = NULL, tol = 1e-06, weight_col = NULL, aggregation_depth = 2, lower_bounds_on_coefficients...
/CRAN/refmans/sparklyr/html/ml_logistic_regression.html
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R: Bound Optimization by Quadratic Approximation
...BOBYQA performs derivative-free bound-constrained optimization using an iteratively constructed quadratic approximation for the objective function. Usage bobyqa( x0, fn, lower = NULL, upper = NULL, nl...
/CRAN/refmans/nloptr/html/bobyqa.html
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R: Bound-Constrained and Nonlinear Constrained Multimodal...
...based crowding DE) algorithm by Qu et al. (2012) doi:10.1109/TEVC.2011.2161873, assisted with the dynamic archive mechanism of Epitropakis et al. (2013) doi:10.1109/CEC.2013.6557556. Usage NCDEoptim...
/CRAN/refmans/DEoptimR/html/NCDEoptim.html
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R: Fit excess lifetime models for doubly interval truncated data
...constrained optimization routines for different models with non-informative censoring and truncation patterns. Usage fit_ditrunc_elife( time, ltrunc1 = NULL, rtrunc1 = NULL, ltrunc2 = NULL, rtrunc2...
/CRAN/refmans/longevity/html/fit_ditrunc_elife.html
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R: EGO algorithm with constraints
...easyEGO.cst( fun, constraint, n.cst = 1, budget, lower, upper, cheapfun = FALSE, equality = FALSE, X = NULL, y = NULL, C = NULL, control = list(method = "EFI", trace = 1, inneroptim = "genoud", maxit...
/CRAN/refmans/DiceOptim/html/easyEGO.cst.html
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R: Calculate optimal design parameters for a single-stage...
...gold-standard design Usage optimize_design_onestage( cP1 = NULL, cC1 = NULL, alpha = 0.025, beta = 0.2, alternative_TP = 0.4, alternative_TC = 0, Delta = 0.2, varT = 1, varP = 1, varC = 1, round_n...
/CRAN/refmans/OptimalGoldstandardDesigns/html/optimize_design_onestage.html
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R: Bound-Constrained and Nonlinear Constrained Single-Objective...
...Brest et al. (2006) doi:10.1109/TEVC.2006.872133. Usage JDEoptim(lower, upper, fn, constr = NULL, meq = 0, eps = 1e-05, NP = 10*length(lower), Fl = 0.1, Fu = 1, tau_F = 0.1, tau_CR = 0.1, tau_pF = 0.1...
/CRAN/refmans/DEoptimR/html/JDEoptim.html
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R: Creating Initial Values
...-likelihood returned by aldvmm.ll using optimr. Usage aldvmm.init( X, y, psi, ncmp, dist, init.method, init.est, init.lo, init.hi, optim.method, optim.control = list(), optim.grad, lcoef, lcpar, lcmp...
/CRAN/refmans/aldvmm/html/aldvmm.init.html
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R: R Interface to NLopt
Help Pages nloptr-package R interface to NLopt auglag Augmented Lagrangian Algorithm bobyqa Bound Optimization by Quadratic Approximation ccsaq Conservative Convex Separable Approximation with Affine...
/CRAN/refmans/nloptr/html/00Index.html
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R: Set Estimation Options
...settings. See the argument names in the return value below. Value An S3 object of class FCVAR_opt that stores the default estimation options, which includes the following parameters: unc_optim_control...
/CRAN/refmans/FCVAR/html/FCVARoptions.html
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R: Constrained nonlinear minimization
...using a penalty and barrier approach. Usage nlminb2(start, objective, eqFun = NULL, leqFun = NULL, lower = -Inf, upper = Inf, gradient = NULL, hessian = NULL, control = list(), env = .GlobalEnv)...
/CRAN/refmans/fPortfolio/html/nlminb2.html
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R: New Unconstrained Optimization with quadratic Approximation
...NEWUOA solves quadratic subproblems in a spherical trust regionvia a truncated conjugate-gradient algorithm. For bound-constrained problems, BOBYQA shold be used instead, as Powell developed it as an...
/CRAN/refmans/nloptr/html/newuoa.html
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R: Nonconvex Optimization for Regression with Fairness...
...Fair regression model based on nonconvex optimization from Komiyama et al. (2018). Usage nclm(response, predictors, sensitive, unfairness, covfun, lambda = 0, save.auxiliary = FALSE) Arguments...
/CRAN/refmans/fairml/html/nclm.html
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R: The Rsolnp Benchmark Problems Suite.
...will return the available benchmark problems. Details The benchmarks were run on dual xeon server with 24GB of memory and windows 7 operating system. The MINOS solver was used via the tomlab interface.
/CRAN/refmans/Rsolnp/html/benchmark.html
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R: Fuzzy Geographicaly Weighted Clustering with Teaching -...
...pop = NA, distmat = NA, ncluster = 2, m = 2, distance = "euclidean", order = 2, alpha = 0.7, a = 1, b = 1, error = 1e-05, max.iter = 100, randomN = 0, vi.dist = "uniform", nstud = 10, tlbo.same = 10, ...
/CRAN/refmans/naspaclust/html/tlbofgwc.html
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R: Rational Constraint
...\frac{x^T Q_1 x + a_1^T x + d_1}{x^T Q_2 x + a_2^T x + d_2} \leq val Usage ratiocon(Q1, a1=rep(0, nrow(Q1)), d1=0, Q2, a2=rep(0, nrow(Q2)), d2=0, dir="<=", val, id=1:nrow(Q1), name="rational", use...
/CRAN/refmans/optiSolve/html/ratiocon.html
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R: EmiR optimization options
Default is FALSE. save_pop_history if TRUE the position of all individuals in the population at each iteration is stored. This is necessary for functions like plot_population and animate_population...
/CRAN/refmans/EmiR/html/MinimizerOpts.html
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R: R port of the Scilab neldermead module
...R port of the Scilab neldermead module Description The goal of this package is to provide a Nelder-Mead direct search optimization method. That Nelder-Mead algorithm may be used in the following...
/CRAN/refmans/neldermead/html/neldermead-package.html
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R: Optimization using PORT routines
...PORT routines Description Unconstrained and box-constrained optimization using PORT routines. For historical compatibility. Usage nlminb(start, objective, gradient = NULL, hessian = NULL, ..., scale...
/R/refmans/stats/html/nlminb.html
r-help matching:
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R: Fit excess lifetime models by maximum likelihood
...wrapper around constrained optimization routines for different models with non-informative censoring and truncation patterns. Usage fit_elife( time, time2 = NULL, event = NULL, type = c("right", "left"...
/CRAN/refmans/longevity/html/fit_elife.html
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R: Sequential Unconstrained Minimization Technique
...Solve constrained optimization problems via the Sequential Unconstrained Minimization Technique (SUMT). Usage sumt(x0, L, P, grad_L = NULL, grad_P = NULL, method = NULL, eps = NULL, q = NULL, verbose...
/CRAN/refmans/clue/html/sumt.html
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R: Calculate optimal design parameters for a two-stage...
...a two-stage gold-standard design Usage optimize_design_twostage( cT2 = NULL, cP1 = NULL, cP2 = NULL, cC1 = NULL, cC2 = NULL, bTP1f = NULL, bTP1e = NULL, bTC1f = NULL, bTC1e = NULL, alpha = 0.025, beta...
/CRAN/refmans/OptimalGoldstandardDesigns/html/optimize_design_twostage.html
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R: Control values for galamm fit
...used when fitting GALAMMs using galamm. Usage galamm_control( optim_control = list(), method = c("L-BFGS-B", "Nelder-Mead"), maxit_conditional_modes = 10, pirls_tol_abs = 0.01, reduced_hessian = FALSE...
/CRAN/refmans/galamm/html/galamm_control.html
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R: Maximum likelihood estimation
...wrapper for different optimizers returning an object of class "maxLik". Corresponding methods handle the likelihood-specific properties of the estimates, including standard errors. Usage maxLik(logLik...
/CRAN/refmans/maxLik/html/maxLik.html
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R: Fuzzy Geographicaly Weighted Clustering
...Geographicaly Weighted Clustering Description Fuzzy clustering with addition of spatial configuration of membership matrix Usage fgwc(data, pop, distmat, algorithm = "classic", fgwc_param, opt_param)...
/CRAN/refmans/naspaclust/html/fgwc.html
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R: Newton- and Quasi-Newton Maximization
...approximation (Newton) method. The Newton-Raphson, BFGS (Broyden 1970, Fletcher 1970, Goldfarb 1970, Shanno 1970), and BHHH (Berndt, Hall, Hall, Hausman 1974) methods are available. Usage maxNR(fn...
/CRAN/refmans/maxLik/html/maxNR.html
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R: Transform Data Between Unconstrained and Box-constrained...
...between unconstrained [-Inf, Inf] and box-constrained representation (interval [lower, upper]). Usage p.constrain(p, lower = -Inf, upper = Inf, f = 1) p.unconstrain(p, lower = -Inf, upper = Inf, f = 1)...
/CRAN/refmans/simecol/html/p.constrain.html
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R: Main function for IHG models without covariates
...ihg00(m, ordinal) Arguments m Number of ordinal categories ordinal Vector of ordinal responses Details The optimization procedure is run via "optim", option method="Brent" for constrained optimization...
/CRAN/refmans/CUB/html/ihg00.html
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R: Main function for IHG models with covariates
...of ordinal responses U Matrix of selected covariates for the preference parameter Details The optimization procedure is run via "optim", option method="Brent" for constrained optimization (lower bound...
/CRAN/refmans/CUB/html/ihgcov.html
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R: R Interface to CPLEX
...file. Package NEWS. Help Pages Rcplex Solve optimization problem with CPLEX Rcplex.close Release CPLEX license Rcplex_solve_QCP Solve quadratically constrained optimization problem with CPLEX
/CRAN/refmans/Rcplex/html/00Index.html
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R: Curve Registration for Exponential Family Functional Data
...analysis bfpca_argPreparation Internal main preparation function for bfpca bfpca_optimization Internal main optimization for bfpca bs_deriv Nth derivative of spline basis coarsen_index Coarsen an...
/CRAN/refmans/registr/html/00Index.html
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R: Maximization of constrained Expected Improvement criteria
...and critcontrol), critcst_optimizer performs the maximization of a constrained Expected Improvement or SUR criterion and delivers the next point to be visited in an EGO-like procedure. The latter...
/CRAN/refmans/DiceOptim/html/critcst_optimizer.html
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R: Maximum likelihood inferences
...mlsolve(ss, coef0, site.sel = "all", bruteforce = FALSE) Arguments ss A site-species matrix, with sample identifiers in the first column, and abundances. Typically, the result of makess. site.sel...
/CRAN/refmans/bio.infer/html/mlsolve.html
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R: Maximum Likelihood Estimation and Related Tools
...activePar.default free parameters under maximization AIC.maxLik Methods for the various standard functions bread Bread for Sandwich Estimator bread.maxLik Bread for Sandwich Estimator coef.maxim...
/CRAN/refmans/maxLik/html/00Index.html
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R: Compute the derivative of loglikelihood relevant to omega for...
...of performing constrained optimization on omega directly, we optimize the log of omega in an unconstrained fashion. Usage ISOpureS1.model_optimize.omega.omega_deriv_loglikelihood(ww, tumordata, model)...
/CRAN/refmans/ISOpureR/html/ISOpureS1.model_optimize.omega.omega_deriv_loglikelihood.html
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R: Solving and Optimizing Large-Scale Nonlinear Systems
...can be viewed with vignette("BB"). The main functions in this package are: BBsolve A wrapper function to provide a robust stategy for solving large systems of nonlinear equations. It calls dfsane...
/CRAN/refmans/BB/html/BB-package.html
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R: R port of the Scilab optimsimplex module
...methods: the simplex method of Spendley et al., the method of Nelder and Mead, the Box's algorithm for constrained optimization, the multi-dimensional search by Torczon, etc ... Features The following...
/CRAN/refmans/optimsimplex/html/optimsimplex-package.html
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R: RcppEnsmallen: Header-Only C++ Mathematical Optimization...
...RcppEnsmallen: Header-Only C++ Mathematical Optimization Library for 'Armadillo' Description 'Ensmallen' is a templated C++ mathematical optimization library (by the 'MLPACK' team) that provides a...
/CRAN/refmans/RcppEnsmallen/html/RcppEnsmallen-package.html
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R: Sensitivity Analysis Informed by a Test for Unmeasured Bias
...a a sensitivity analysis for one outcome informed or constrained by the results of a test for unmeasured bias based on another outcome known to be unaffected by the treatment. The package uses gurobi...
/CRAN/refmans/informedSen/html/informedsen.html
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R: Maximum Likelihood Estimation for parametric distributions
...(MLE) of any distribution implemented in R. Usage maxlogL( x, dist = "dnorm", fixed = NULL, link = NULL, start = NULL, lower = NULL, upper = NULL, optimizer = "nlminb", control = NULL, StdE_method = c...
/CRAN/refmans/EstimationTools/html/maxlogL.html
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R: Rational Objective Function
...form f(x) = \frac{x^T Q_1 x + a_1 x + d_1}{x^T Q_2 x + a_2 x + d_2} Usage ratiofun(Q1, a1=rep(0, nrow(Q1)), d1=0, Q2, a2=rep(0, nrow(Q2)), d2=0, id=1:nrow(Q1), name="ratio.fun") Arguments Q1 Numeric...
/CRAN/refmans/optiSolve/html/ratiofun.html
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R: General-purpose optimization
These include spg from the BB package, ucminf, nlm, and nlminb. Note that optim() itself allows Nelder–Mead, quasi-Newton and conjugate-gradient algorithms as well as box-constrained optimization...
/CRAN/refmans/optimx/html/optimx.html
cran-help matching:
constrained, :optimization and optimization |
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R: Quantile Regression Fitting via Interior Point Methods
...to specify linear inequality constraints to which the fitted coefficients will be subjected. The constraints are assumed to be formulated as Rb >= r. Usage rq.fit.fnc(x, y, R, r, tau=0.5, beta=0.9995...
/CRAN/refmans/quantreg/html/rq.fit.fnc.html
cran-help matching:
constrained and optimization |
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R: Auxiliary for Controlling rpm
...computes the MLPLE of the Revealed Preferences Model via optimization. Usage control.rpm( init_theta = NULL, algorithm = "NLOPT_LD_SLSQP", print_level = 0, xtol_rel = 1e-08, ftol_rel = 1e-08, ftol_abs...
/CRAN/refmans/rpm/html/control.rpm.html
cran-help matching:
constrained and optimization |
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R: Non-Linear Optimization
...trust(objfun, parinit, rinit, rmax, parscale, iterlim = 100, fterm = sqrt(.Machine$double.eps), mterm = sqrt(.Machine$double.eps), minimize = TRUE, blather = FALSE, ...) Arguments objfun an R function...
/CRAN/refmans/trust/html/trust.html
cran-help matching:
constrained, :optimization and optimization |
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R: Fast function using C++ to calculate the Aldous beta...
...number of extant descendents of each daughter branch is split following a beta distribution, such that the number of extant descendentants x and y at a node follows q(x, y) = s_n(beta)^-1 \frac{(gamma...
/CRAN/refmans/treestats/html/beta_statistic.html
cran-help matching:
constrained and optimization |
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R: General-purpose Optimization
...algorithms. It includes an option for box-constrained optimization and simulated annealing. Usage optim(par, fn, gr = NULL, ..., method = c("Nelder-Mead", "BFGS", "CG", "L-BFGS-B", "SANN", "Brent")...
/R/refmans/stats/html/optim.html
r-help matching:
constrained, :optimization and optimization |
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R: Interfacing wrapper for the Nocedal - Morales LBFGSB3...
...the Nocedal - Morales LBFGSB3 (Fortran) limited memory BFGS solver. Description Interfacing wrapper for the Nocedal - Morales LBFGSB3 (Fortran) limited memory BFGS solver. Usage lbfgsb3c( par, fn, gr...
/CRAN/refmans/lbfgsb3c/html/lbfgsb3c.html
cran-help matching:
constrained and optimization |
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R: Spatial clusterwise regression by a constrained version of...
...suggested by Postiglione et al. (2013). Usage Sareg(data, coly,colx, cont, intemp, rho, niter, subit, ncl, bcont) Arguments data A data.frame coly The dependent variable in the c("y_ols") form. colx...
/CRAN/refmans/SpatialRegimes/html/Sareg.html
cran-help matching:
:constrained, constrained and optimization |
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R: Mixed Normal Optimization
...Constrained optimization for mixed normal in 1D and typically for 2 components. Usage mixnormerr.optim(X, K = 2, param = NULL) dmixnormerr(x, param) Arguments X a gene expression data matrix of...
/CRAN/refmans/cubfits/html/u5_mixnorm.html
cran-help matching:
constrained, :optimization and optimization |
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R: Computation of the constrained minimimum of given function...
...which does not use the derivative of the cost function. It is based on the update of a simplex, which is a set of k>=n+1 vertices, where each vertex is associated with one point, which coordinates are ...
/CRAN/refmans/neldermead/html/fminbnd.html
cran-help matching:
:constrained, constrained and optimization |
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R: Estimate compliance scores using covariates.
...always-taker conditional on being a complier or always-taker. These compliance scores can be used in inverse probability weighting to estimate average treatment effects. In the case of one-sided non-...
/CRAN/refmans/icsw/html/compliance.score.html
cran-help matching:
constrained and optimization |
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R: Boxed Region Transformation
...if both are scalars, to which they get repeated. Details Transforms a constraint region in n-dimensional space bijectively to the unconstrained R^n space, applying a atanh resp. exp transformation...
/CRAN/refmans/adagio/html/transfinite.html
cran-help matching:
constrained and optimization |
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R: Class "lexpit"
...("lexpit", ...). Slots coef.linear: vector of fitted linear coefficients coef.expit: vector of fitted expit coefficients vcov.linear: matrix of variance-covariate estimates for linear coef vcov.expit...
/CRAN/refmans/blm/html/lexpit-class.html
cran-help matching:
constrained and optimization |
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R: Checking the Validity of Objects Supplied to 'aldvmm()'
...runs validity checks of objects supplied to aldvmm. Usage aldvmm.check( formula, data, subset, psi, ncmp, dist, optim.method, optim.control, optim.grad, init.method, init.est, init.lo, init.hi, se.fit...
/CRAN/refmans/aldvmm/html/aldvmm.check.html
cran-help matching:
constrained and optimization |
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R: Multivariate Ordered Probit Model via Pairwise Likelihood
...via maximization of the pairwise likelihood, a special case of the composite likehood obtained as product of bivariate marginal distributions. The package uses the Fortran 77 subroutine SADMVN by Alan ...
/CRAN/refmans/PLordprob/html/PLordprob-package.html
cran-help matching:
constrained and optimization |
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R: Package options for nltm
...S_0(t) (see nltm). Optimization is performed using the "L-BFGS-B" method by Byrd et. al. (1995). See optim. Usage nltm.control(fnscale=-1, maxit=1000, reltol, factr=1e7, pgtol=0, s0.tol=1e-5, bscale=5)...
/CRAN/refmans/nltm/html/nltm.control.html
cran-help matching:
constrained and optimization |
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R: Optimize an objective function under multiple blackbox...
...via expected improvement (EI) and variations; a comparator based on EI with constraints is also provided Usage optim.auglag(fn, B, fhat = FALSE, equal = FALSE, ethresh = 1e-2, slack = FALSE, cknown...
/CRAN/refmans/laGP/html/optim.auglag.html
cran-help matching:
constrained and optimization |
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R: Maximum Likelihood Estimation
...tools for Maximum Likelihood (ML) estimation. The focus of the package is on non-linear optimization from the ML viewpoint, and it provides several convenience wrappers and tools, like BHHH algorithm...
/CRAN/refmans/maxLik/html/maxLik-package.html
cran-help matching:
constrained and optimization |
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R: Maximum Pairwise Likelihood Estimation
...ordered probit model maximizing the pairwise log-likelihood function. Usage ordprob.mple(y, x = NULL, K, start.par = list(type = "default"), same.means = FALSE, eval.max = 1000, iter.max = 600...
/CRAN/refmans/PLordprob/html/ordprob.mple.html
cran-help matching:
constrained and optimization |
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R: Tuning Parameter Optimization
...method for class 'ModelSpecification' set_optim_bayes( object, num_init = 5, times = 10, each = 1, acquisition = c("ucb", "ei", "eips", "poi"), kappa = stats::qnorm(conf), conf = 0.995, epsilon = 0...
/CRAN/refmans/MachineShop/html/set_optim-methods.html
cran-help matching:
constrained, :optimization and optimization |
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R: Fit non-linear growth curves
...Use the Newton's with a trust-region method to fit non-linear growth curves to observed data. Usage drda( formula, data, subset, weights, na.action, mean_function = "logistic4", lower_bound = NULL...
/CRAN/refmans/drda/html/drda.html
cran-help matching:
constrained and optimization |
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R: Complete Run of Constrained LASSO Path Function (Equality...
...the lars.c PaC constrained Lasso function. lasso.c controls the overall path, providing checks for the path and allowing the user to control how the path is computed (and what to do in the case of a...
/CRAN/refmans/PACLasso/html/lasso.c.html
cran-help matching:
:constrained, constrained and optimization |
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R: Complete Run of Constrained LASSO Path Function with...
...wrapper function for the lars.c PaC constrained Lasso function. lasso.c controls the overall path, providing checks for the path and allowing the user to control how the path is computed (and what to...
/CRAN/refmans/PACLasso/html/lasso.ineq.html
cran-help matching:
:constrained, constrained and optimization |
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R: Constraint for minimization
...minimization Description Create a constraint function for constrained optimization. Only inequality constraints are supported. Usage constraint(func, inequality) Arguments func function describing the...
/CRAN/refmans/EmiR/html/constraint.html
cran-help matching:
constrained and optimization |
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R: Mediation Analysis Confidence Intervals
...Constrained Optimization (MBCO) Chi-squared Test medci Confidence Interval for the Mediated Effect memory_exp Memory Experiment Data Description from MacKinnon et al., 2018 pMC Probability (percentile)...
/CRAN/refmans/RMediation/html/00Index.html
cran-help matching:
constrained and optimization |