• 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...