• spdep

  • Referenced in 38 articles [sw04578]
  • unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering...
  • ssym

  • Referenced in 6 articles [sw14396]
  • package ssym: Fitting Semi-Parametric log-Symmetric Regression Models ... tools to fit a semi-parametric regression model suitable for analysis of data sets ... distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components...
  • BGLR

  • Referenced in 10 articles [sw14008]
  • various types of parametric and semi-parametric Bayesian regressions to continuos (censored or not), binary...
  • truncSP

  • Referenced in 3 articles [sw27005]
  • Package for Estimation of Semi-Parametric Truncated Linear Regression Models. Problems with truncated data occur ... areas, complicating estimation and inference. Regarding linear regression models, the ordinary least squares estimator ... estimators, designed for the estimation of truncated regression models, have been developed. This paper presents ... functions for the estimation of semi-parametric truncated linear regression models using three different estimators...
  • VarReg

  • Referenced in 1 article [sw42075]
  • package VarReg: Semi-Parametric Variance Regression. Methods for fitting semi-parametric mean and variance models ... censored data. Also extended to allow a regression in the location, scale and shape parameters...
  • calibration

  • Referenced in 1 article [sw31731]
  • data by making a semi-parametric logistic regression of binary coverage outcomes on simulated data...
  • BayesGESM

  • Referenced in 3 articles [sw22576]
  • BayesGESM: Bayesian Analysis of Generalized Elliptical Semi-Parametric Models and Flexible Measurement Error Models ... inference based on the Bayesian approach for regression models under the assumption that independent additive ... regression models considered in this package are: (i) Generalized elliptical semi-parametric models, where both...
  • LSEbA

  • Referenced in 2 articles [sw08763]
  • LSEbA: least squares regression and estimation by analogy in a semi-parametric model for software ... known techniques, namely the parametric Regression Analysis and the non-parametric Estimation by Analogy. Despite ... this paper, we introduce a semi-parametric technique, called LSEbA that achieves to combine ... spread. Comparisons of LSEbA with linear regression, estimation by analogy and a combination of them...
  • BNSP

  • Referenced in 2 articles [sw24225]
  • Monte Carlo algorithms for non- and semi-parametric models: 1. Dirichlet process mixtures & 2. spike ... slab for variable selection in mean/variance regression models...
  • SmoothHazard

  • Referenced in 4 articles [sw14710]
  • censored data are also allowed. Proportional intensities regression models allow for covariates on each ... either a parametric approach with Weibull baseline intensities or a semi-parametric approach with...
  • PAmeasures

  • Referenced in 1 article [sw31556]
  • regression model. The regression model can be linear or nonlinear, parametric, semi-parametric, or nonparametric ... function’s bias for predicting the mean regression function. When used together, they give...
  • concreg

  • Referenced in 1 article [sw25014]
  • package concreg: Concordance Regression. Implements concordance regression which can be used to estimate generalized odds ... used for non- and semi-parametric survival analysis with non-proportional hazards, for binary...
  • RobMixReg

  • Referenced in 1 article [sw33919]
  • package RobMixReg: Robust Mixture Regression. Finite mixture models are a popular technique for modelling unobserved ... approximate general distribution functions in a semi-parametric way. They are used ... implementation of popular robust mixture regression methods based on different algorithms including: fleximix, finite mixture...
  • PanJen

  • Referenced in 0 articles [sw16382]
  • PanJen. A central decision in a parametric regression is how to specify the relation between ... semi-parametric tool for comparing different transformations of an explanatory variables in a parametric regression...
  • sodavis

  • Referenced in 0 articles [sw20294]
  • both main and interaction effects under logistic regression and quadratic discriminant analysis. We also provide ... with the variable selection problem for semi-parametric models with continuous responses...
  • Mathematica

  • Referenced in 6355 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • mclust

  • Referenced in 309 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...
  • R

  • Referenced in 9969 articles [sw00771]
  • R is a language and environment for statistical...
  • SODAS

  • Referenced in 70 articles [sw00885]
  • The author gives a short introduction to the...
  • LISP-STAT

  • Referenced in 117 articles [sw01111]
  • Lisp-Stat is an extensible statistical computing environment...