• sbgcop

  • Referenced in 5 articles [sw11945]
  • treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also...
  • flip

  • Referenced in 5 articles [sw06779]
  • also in presence of covariates (i.e. nuisance parameters). The permutation and the rotation methods...
  • exactLoglinTest

  • Referenced in 3 articles [sw25926]
  • minimal sufficient statistics to remove nuisance parameters. A Monte Carlo algorithm is proposed to estimate...
  • txshift

  • Referenced in 2 articles [sw35166]
  • targeted minimum loss estimators. The causal parameter and estimation methodology were first described by Díaz ... /j.1541-0420.2011.01685.x>). Estimation of nuisance parameters may be enhanced through the Super Learner ensemble model...
  • TOHM

  • Referenced in 2 articles [sw41214]
  • hypothesis in presence of non-identifiable nuisance parameters. The method relies on the Euler characteristic...
  • MaxMC

  • Referenced in 2 articles [sw34661]
  • Monte Carlo, mmc(), for statistics with nuisance parameters...
  • PoweR

  • Referenced in 2 articles [sw24090]
  • null distribution (and on nuisance parameters) under the non-simple null case. We also assume...
  • plmed

  • Referenced in 2 articles [sw40956]
  • orthogonal estimation strategy for estimating nuisance parameters. Simulations show that the GMM-based tests perform...
  • aispu

  • Referenced in 1 article [sw36076]
  • linear models (GLMs) with high-dimensional nuisance parameters is largely untouched. Most existing tests ... error rates under high-dimensional nuisance parameters situations. This package provides a new test called...
  • RATest

  • Referenced in 1 article [sw40364]
  • presence of an estimated nuisance parameter as in Chung and Olivares (2021) nuisance parameter...
  • FastPM

  • Referenced in 4 articles [sw41435]
  • varies a large number of nuisance or cosmological parameters, or serving as part...
  • SDRcausal

  • Referenced in 1 article [sw38424]
  • average treatment effect (ATE) parameter. Nuisance models, both treatment assignment probability given the covariates (propensity...
  • EL

  • Referenced in 2 articles [sw30087]
  • inference for the difference of two location parameters using smoothed M-estimators We consider ... estimators. To deal with additional nuisance scale parameters, we use the plug-in empirical likelihood...
  • GammaCombo

  • Referenced in 0 articles [sw39181]
  • order to compute confidence intervals on parameters of interest. A global likelihood function is constructed ... following the Plugin method to handle nuisance parameters...
  • semibart

  • Referenced in 1 article [sw31324]
  • model where the posterior distribution of the parameters of the linear part can be interpreted ... substantive interest and the others are nuisance variables that we would like to control...
  • dmlalg

  • Referenced in 1 article [sw41216]
  • standard DML estimator of the linear parameter has a two-stage least squares interpretation, which ... narrower confidence intervals that are approximately valid. Nuisance terms can be flexibly estimated with machine...
  • Mathematica

  • Referenced in 6445 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • R

  • Referenced in 10196 articles [sw00771]
  • R is a language and environment for statistical...
  • ROBETH

  • Referenced in 43 articles [sw00811]
  • ROBETH is the program library for robust statistical...
  • GLIM

  • Referenced in 199 articles [sw01126]
  • GLIM - a system for interactive fitting of generalized...