
MIXOR
 Referenced in 26 articles
[sw08990]
 mixedeffects ordinal probit, logistic, and complementary loglog 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, maximumlikelihood logit, and maximumlikelihood 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 loglog 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 Studentt Priors. Use Gibbs sampler with PolyaGamma ... data augmentation to fit logistic and probit regression under independent Studentt 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, kdensity 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 selfreported 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; regressionstyle models (including OLS, logit, probit, ordered logit & probit...

Orthants
 Referenced in 13 articles
[sw14755]
 expressed in terms of those for autoregressive sequences and an efficient method is developed ... application is given to multivariate probit models...

OGLM
 Referenced in 3 articles
[sw14973]
 logit, probit, complementary loglog, loglog and cauchit. When an ordinal regression model incorrectly...

nlr
 Referenced in 9 articles
[sw05244]
 quasilikelihood estimation parameters in nonlinear regression models We present Fortran 77 subroutines that solve ... models, such as linearinparameter 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...