• mmlcr

  • Referenced in 2 articles [sw15070]
  • regression. mmlcr: Mixed-Mode Latent Class Regression. Mixed-mode latent class regression (also known ... mixed-mode mixture model regression or mixed-mode mixture regression models) which can handle both...
  • MAIC

  • Referenced in 8 articles [sw19964]
  • Information Criterion in Linear Regression Analysis via Mixed Integer Nonlinear Program. Akaike’s information criterion...
  • midasr

  • Referenced in 4 articles [sw21903]
  • package midasr: Mixed Data Sampling Regression. Methods and tools for mixed frequency time series data...
  • merlin

  • Referenced in 2 articles [sw34074]
  • package merlin: Mixed Effects Regression for Linear, Non-Linear and User-Defined Models. Fits linear ... linear, and user-defined mixed effects regression models following the framework developed by Crowther...
  • MIDAS Regressions

  • Referenced in 3 articles [sw21902]
  • Eric Ghysels and collaborators. The mixed frequency regression studies the explanatory power of high frequency...
  • lqmm

  • Referenced in 12 articles [sw14399]
  • Quantile Mixed Models. This is a collection of functions to fit quantile regression models...
  • bpnreg

  • Referenced in 3 articles [sw31312]
  • Circular Data. Fitting Bayesian multiple and mixed-effect regression models for circular data based...
  • lrmest

  • Referenced in 1 article [sw27785]
  • Ridge Regression Estimator (ORRE), Ordinary Generalized Ridge Regression Estimator (OGRRE), Restricted Least Square Estimator (RLSE ... Restricted Least Square Estimator (OGRLSE), Ordinary Mixed Regression Estimator (OMRE), Ordinary Generalized Mixed Regression Estimator...
  • Latent GOLD

  • Referenced in 94 articles [sw11673]
  • analysis, structural equation models, and random-effects regression models that are based on continuous latent ... models seek to separate out or ’un-mix’ data that is assumed to arise...
  • qrNLMM

  • Referenced in 2 articles [sw15130]
  • qrNLMM: Quantile Regression for Nonlinear Mixed-Effects Models. Quantile regression (QR) for Nonlinear Mixed-Effects...
  • heavy

  • Referenced in 4 articles [sw13216]
  • distributions. Currently, the package includes linear regression, linear mixed-effect models, multivariate location and scatter...
  • HIBITS

  • Referenced in 4 articles [sw30626]
  • predicting sleep states, we develop a mixed effects model for binary time series with ... existing approaches such as logistic regression, generalized additive mixed model, models for ordinal data, gradient...
  • performance

  • Referenced in 6 articles [sw29807]
  • large variety of regression models, including generalized linear models, mixed effects models and Bayesian models...
  • meta

  • Referenced in 11 articles [sw17233]
  • analysis; - meta-regression (if R package ’metafor’ is installed); - generalised linear mixed models...
  • crs

  • Referenced in 6 articles [sw14045]
  • Categorical Regression Splines. Regression splines that handle a mix of continuous and categorical (discrete) data...
  • PROC REG

  • Referenced in 7 articles [sw12074]
  • type of regression analysis are the CATMOD, GENMOD, GLM, LOGISTIC, MIXED, NLIN, ORTHOREG, PROBIT, RSREG ... series or simultaneous systems. These other SAS/STAT regression procedures are summarized in Chapter 4, Introduction...
  • refund

  • Referenced in 63 articles [sw07434]
  • package refund: Regression with Functional Data. Corrected confidence bands for functional data using principal components ... decomposition-based variability are constructed. Standard mixed model representations of functional expansions are used...
  • Bayesian Regression

  • Referenced in 2 articles [sw19268]
  • Bayesian nonparametric (and parametric) mixed models for regression analysis and density estimation. The Bayesian Regression...
  • qrLMM

  • Referenced in 1 article [sw24274]
  • package qrLMM: Quantile Regression for Linear Mixed-Effects Models. Quantile regression (QR) for Linear Mixed...
  • bayesSurv

  • Referenced in 9 articles [sw13221]
  • Survival Regression with Flexible Error and Random Effects Distributions. Contains Bayesian implementations of Mixed-Effects...