• semml

  • Referenced in 13 articles [sw27809]
  • outlying observations, and to some model misspecifications. An optimality principle leads to the construction ... best trade-off between efficiency at the model and robustness...
  • Rassoc

  • Referenced in 12 articles [sw25402]
  • unknown. Thus, tests robust to genetic model misspecification are preferable to the model-dependant CATT...
  • CorrT

  • Referenced in 3 articles [sw26432]
  • named CorrT, which is robust to model misspecification such as heteroscedasticity and lack of sparsity ... error approaching the nominal level for any models and Type II error approaching zero...
  • PICS

  • Referenced in 3 articles [sw37329]
  • these methods and is robust to model misspecification...
  • DHARMa

  • Referenced in 2 articles [sw16594]
  • plot and test functions for typical model misspecification problem, such as over/underdispersion, zero-inflation...
  • HHSIM

  • Referenced in 1 article [sw15448]
  • Triple-goal estimates in two-stage hierarchical models”, J. R. Stat. Soc. Ser. B, Stat ... posterior means, they are more sensitive to misspecification of the population distribution and we present ... quite informative, conclusions are robust to model misspecification. However, with less information in the data ... valid, but successfully protects against model misspecification...
  • SimSel

  • Referenced in 1 article [sw06856]
  • that the method becomes insensitive to model misspecifications. We demonstrate SimSel on simulated data from...
  • dr

  • Referenced in 1 article [sw37348]
  • allowing for different forms of model misspecification; a double-robust estimator also can offer increased...
  • ss3sim

  • Referenced in 1 article [sw22043]
  • used to answer questions about model misspecification, retrospective patterns, and the relative importance of different...
  • extWeibQuant

  • Referenced in 1 article [sw15361]
  • these two methods are robust to model misspecification in the lower tail. It also includes...
  • FastMotif

  • Referenced in 1 article [sw34315]
  • decompositions, our method is robust to model misspecifications and is not prone to locally optimal...
  • sampleSelection

  • Referenced in 13 articles [sw08258]
  • syllabus. We describe the implementation of these models in the package sampleSelection and illustrate ... exclusion restrictions, identification at infinity and misspecification. We argue that the package can be used...
  • xttest1

  • Referenced in 2 articles [sw37500]
  • Tests for unbalanced error-components models under local misspecification. This paper derives unbalanced versions...
  • MASTOR

  • Referenced in 2 articles [sw23134]
  • MASTOR is valid even when the phenotype model is misspecified and with either random ... relationship information, the robustness to misspecification of the phenotype model, and the improvement in power...
  • RPtests

  • Referenced in 0 articles [sw19531]
  • test for a variety of model misspecifications including nonlinearity and heteroscedasticity. In addition...
  • pstest

  • Referenced in 1 article [sw17751]
  • pstest. Specification Tests for Parametric Propensity Score Models. The propensity score ... nonparametric diagnostic tools for detecting propensity score misspecification...
  • GEint

  • Referenced in 0 articles [sw18470]
  • higher order moments of covariates in the model. If users are unsure about ... Testing for Gene-Environment Interaction Under Exposure Misspecification” (Submitted...
  • SNP_NLMM

  • Referenced in 1 article [sw37305]
  • Mixed Models. Generalized linear and nonlinear mixed models (GLMMs and NLMMs) are commonly used ... unrealistic in some applications, and misspecification of the random effects density may lead to maximum...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • Mathematica

  • Referenced in 6213 articles [sw00554]
  • Almost any workflow involves computing results, and that...