• MIXOR

  • Referenced in 26 articles [sw08990]
  • mixed-effects ordinal probit, logistic, and complementary log-log regression models. These models...
  • mvprobit

  • Referenced in 4 articles [sw37526]
  • Multivariate probit regression using simulated maximum likelihood. We discuss the application of the GHK simulation ... maximum likelihood estimation of the multivariate probit regression model and describe and illustrate a Stata...
  • vbmp

  • Referenced in 2 articles [sw35354]
  • Bioconductor/R package vbmp: Variational Bayesian Multinomial Probit Regression. Variational Bayesian Multinomial Probit Regression with Gaussian...
  • hreg

  • Referenced in 15 articles [sw37389]
  • hprobit commands estimate regression, maximum-likelihood logit, and maximum-likelihood probit models based on Huber...
  • weightedScores

  • Referenced in 8 articles [sw12457]
  • weightedScores: Weighted Scores Method for Regression Models with Dependent Data. Has functions that handle ... binary (logistic and probit), Poisson and negative binomial regression, with dependent data. Two versions...
  • PROC LOGISTIC

  • Referenced in 10 articles [sw12078]
  • logistic regression models can be replaced by the probit function, the complementary log-log function...
  • Clarify

  • Referenced in 3 articles [sw26299]
  • used statistical models, including linear regression, binary logit, binary probit, ordered logit, ordered probit, multinomial...
  • tglm

  • Referenced in 1 article [sw27007]
  • package tglm: Binary Regressions under Independent Student-t Priors. Use Gibbs sampler with Polya-Gamma ... data augmentation to fit logistic and probit regression under independent Student-t priors (including Cauchy...
  • vir

  • Referenced in 1 article [sw37284]
  • stochastic variational algorithms for linear and probit regression models, the use of which...
  • PROC REG

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

  • Referenced in 2 articles [sw16522]
  • spatial logit and probit, k-density functions and counterfactuals, nonparametric quantile regression and conditional density ... quantile regressions, spatial AR model, repeat sales models, conditionally parametric logit and probit...
  • ui

  • Referenced in 1 article [sw32122]
  • ignorability assumptions) for (i) for regression (linear and probit) parameters when outcome is missing ... missingness); (ii) for double robust and outcome regression estimators of average causal effects...
  • PoloPlus

  • Referenced in 1 article [sw26075]
  • analyzing quantal response bioassays using probit or logit regression analyses. The software was called PoloPC...
  • hopit

  • Referenced in 1 article [sw30888]
  • generalized ordered probit model that regresses original self-reported status measures on two sets...
  • mprobit

  • Referenced in 2 articles [sw07958]
  • mprobit: Multivariate probit model for binary/ordinal response Multivariate normal rectangle probabilities (positive exchangeable, general ... approximations); MLE of regression and correlation parameters in the multivariate binary/ordinal probit models: exchangeable...
  • svr

  • Referenced in 2 articles [sw09334]
  • means, totals, and ratios; regression-style models (including OLS, logit, probit, ordered logit & probit...
  • Orthants

  • Referenced in 13 articles [sw14755]
  • expressed in terms of those for auto-regressive sequences and an efficient method is developed ... application is given to multivariate probit models...
  • OGLM

  • Referenced in 3 articles [sw14973]
  • logit, probit, complementary log-log, log-log and cauchit. When an ordinal regression model incorrectly...
  • nlr

  • Referenced in 9 articles [sw05244]
  • quasi-likelihood estimation parameters in nonlinear regression models We present Fortran 77 subroutines that solve ... models, such as linear-in-parameter multinomial probit models. The basic method, a generalization ... parameters, and that compute approximate regression diagnostics...
  • ICBayes

  • Referenced in 1 article [sw26412]
  • Bayesian semiparametric regression survival models (proportional hazards model, proportional odds model, and probit model...