• CVX

  • Referenced in 794 articles [sw04594]
  • modeling system for constructing and solving disciplined convex programs (DCPs). CVX supports a number ... convex optimization problems, including many involving nondifferentiable functions, such as ℓ1 norms ... version 2.0, CVX also solves mixed integer disciplined convex programs (MIDCPs) as well, with...
  • refund

  • Referenced in 55 articles [sw07434]
  • observations. Curve estimates implicitly condition on basis functions and other quantities derived from FPC decompositions ... based variability are constructed. Standard mixed model representations of functional expansions are used to construct...
  • DPpackage

  • Referenced in 68 articles [sw10495]
  • regression functions. Unfortunately, posterior distributions ranging over function spaces are highly complex and hence sampling ... nonparametric and semiparametric models in R, DPpackage. Currently, DPpackage includes models for marginal and conditional ... mixed models, and regression data using generalized additive models. The package also contains functions...
  • metafor

  • Referenced in 31 articles [sw12291]
  • outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator ... person-time data, the package also provides functions that implement specialized methods, including the Mantel ... variety of suitable generalized linear (mixed-effects) models ... mixed-effects (conditional) logistic and Poisson regression models). Finally, the package provides functionality for fitting...
  • JuMP

  • Referenced in 99 articles [sw16108]
  • modeling language that allows users to express a wide range of optimization problems (linear, mixed ... offer unique functionality while achieving performance on par with commercial modeling tools for standard tasks...
  • WFMM

  • Referenced in 6 articles [sw36436]
  • that implements a Bayesian wavelet-based functional mixed model methodology for functional data analysis introduced ... method extends linear mixed models to functional data consisting of n curves sampled...
  • lmec

  • Referenced in 19 articles [sw13215]
  • package includes a function to fit a linear mixed-effects model in the formulation described...
  • Refprop

  • Referenced in 39 articles [sw24947]
  • model. Mixture calculations employ a model that applies mixing rules to the Helmholtz energy ... function to account for the departure from ideal mixing. Viscosity and thermal conductivity are modeled...
  • WWGbook

  • Referenced in 27 articles [sw12240]
  • WWGbook: Functions and datasets for WWGbook. Book is ”Linear Mixed Models: A Practical Guide Using...
  • LowRankModels

  • Referenced in 32 articles [sw27002]
  • rank matrix, and include many well known models in data analysis, such as principal components ... easy to mix and match loss functions and regularizers to construct a model suitable...
  • mirt

  • Referenced in 26 articles [sw13479]
  • mixed effects designs also are available for detecting differential item functioning and modelling item...
  • PROC NLMIXED

  • Referenced in 65 articles [sw11039]
  • programming statements. PROC NLMIXED fits nonlinear mixed models by maximizing an approximation to the likelihood ... second derivative matrix of the likelihood function. PROC NLMIXED enables you to use the estimated...
  • FEASPUMP

  • Referenced in 128 articles [sw04802]
  • feasible solution of a given mixed-integer programming (MIP) model is a very important 𝒩𝒫 ... effect of replacing the original rounding function (which is fast and simple, but somehow blind...
  • PSM

  • Referenced in 9 articles [sw13695]
  • Linear Mixed-Effects modelling using Stochastic Differential Equations. This package provides functions for estimation ... linear mixed-effects models using stochastic differential equations. Moreover it provides functions for finding smoothed...
  • curvclust

  • Referenced in 6 articles [sw07435]
  • Wavelet-based clustering for mixed-effects functional models in high dimension. We propose a method ... irregular functions that belong to Besov spaces. In the wavelet domain our model resumes ... linear mixed-effects model that can be used for a model-based clustering algorithm ... propose an original application of functional data analysis on microarray comparative genomic hybridization (CGH) data...
  • MCPLIB

  • Referenced in 105 articles [sw07894]
  • algorithms for mixed complementarity problems. Function and Jacobian evaluations for the resulting problems are provided ... formulate many popular problem formats as mixed complementarity problems and how to describe the resulting ... ease and power of formulating practical models in the MCP format. Given these examples...
  • GCTA

  • Referenced in 18 articles [sw23135]
  • main functions: data management, estimation of the genetic relationships from SNPs, mixed linear model analysis ... GWAS simulation. We focus on the function of estimating the variance explained...
  • Statmod

  • Referenced in 20 articles [sw07073]
  • functions to aid statistical modeling. Includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed ... convergence algorithm for nonlinear models. Includes advanced generalized linear model functions that implement secure convergence...
  • saery

  • Referenced in 26 articles [sw11943]
  • Model. A complete set of functions to calculate several EBLUP (Empirical Best Linear Unbiased Predictor ... based on an area-level linear mixed model introduced...
  • lqmm

  • Referenced in 11 articles [sw14399]
  • lqmm: Linear Quantile Mixed Models. This is a collection of functions to fit quantile regression...