• bspmma

  • Referenced in 1 article [sw19269]
  • package bspmma: bspmma: Bayesian Semiparametric Models for Meta-Analysis. Some functions for nonparametric and semiparametric...
  • pgam

  • Referenced in 1 article [sw25118]
  • Poisson count data, Poisson-Gamma model, towards a semiparametric specification. Just like the generalized additive ... used for covariate smoothing. The semiparametric models are fitted by an iterative process that combines...
  • ICBayes

  • Referenced in 1 article [sw26412]
  • package ICBayes: Bayesian Semiparametric Models for Interval-Censored Data. Contains functions to fit Bayesian semiparametric...
  • semibart

  • Referenced in 1 article [sw31324]
  • semiparametric modeling approach using Bayesian additive regression trees with an application to evaluate heterogeneous treatment ... among covariates. We extend BART to a semiparametric regression framework in which the conditional expectation ... result is a Bayesian semiparametric linear regression model where the posterior distribution of the parameters...
  • JSM

  • Referenced in 1 article [sw33241]
  • package JSM: Semiparametric Joint Modeling of Survival and Longitudinal Data. Maximum likelihood estimation ... semiparametric joint modeling of survival and longitudinal data. Refer to the Journal of Statistical Software...
  • gcmrec

  • Referenced in 1 article [sw15915]
  • data. Parameters estimation of the general semiparametric model for recurrent event data proposed by Pena...
  • AdaptFit

  • Referenced in 2 articles [sw10486]
  • SemiPar package fits semiparametric regression models with spatially adaptive penalized splines...
  • spgam1

  • Referenced in 4 articles [sw27802]
  • algorithm for semiparametric conditional shared gamma frailty models described in Vu, Segal, Knuiman and James...
  • ahaz

  • Referenced in 1 article [sw24684]
  • Descent Methods for the Penalized Semiparametric Additive Hazards Model...
  • drmdel

  • Referenced in 1 article [sw25631]
  • empirical likelihood (DEL) inference under semiparametric density ratio models (DRM) in the presence of multiple...
  • eigenmodel

  • Referenced in 1 article [sw26199]
  • package eigenmodel: Semiparametric Factor and Regression Models for Symmetric Relational Data. Estimation of the parameters...
  • spsurv

  • Referenced in 1 article [sw32477]
  • reliable routines to ease semiparametric survival regression modeling based on Bernstein polynomials. ’spsurv’ includes proportional...
  • Spgam5

  • Referenced in 1 article [sw27714]
  • macro for semiparametric marginal shared gamma frailty models...
  • Spln3

  • Referenced in 1 article [sw27712]
  • macro for semiparametric conditional shared log-normal frailty models...
  • vows

  • Referenced in 1 article [sw26208]
  • Voxelwise Semiparametrics. Parametric and semiparametric inference for massively parallel models, i.e., a large number...
  • regpro

  • Referenced in 1 article [sw19267]
  • kernel, local linear), (2) semiparametric regression (single index, additive models), and (3) quantile regression (linear...
  • SPmlficmcm

  • Referenced in 1 article [sw24116]
  • method of general semiparametric maximum likelihood estimation for logistic models in case-mother control-mother...
  • CAMAN

  • Referenced in 2 articles [sw14555]
  • Models and Meta-Analysis Tools - Based on C.A.MAN. Tools for the analysis of finite semiparametric...
  • PCDSpline

  • Referenced in 1 article [sw31379]
  • Semiparametric regression analysis of panel count data under the non-homogeneous Poisson process model with...
  • McSpatial

  • Referenced in 2 articles [sw16522]
  • package McSpatial. Locally weighted regression, semiparametric and conditionally parametric regression, fourier and cubic spline functions ... Mata decomposition for quantile regressions, spatial AR model, repeat sales models, conditionally parametric logit...