
plfit
 Referenced in 269 articles
[sw23186]
 tests based on the Kolmogorov  Smirnov (KS) statistic and likelihood ratios. We evaluate the effectiveness...

emplik
 Referenced in 57 articles
[sw06081]
 likelihood ratio for censored/truncated data , empirical likelihood ratio tests for means/quantiles/hazards from possibly censored and/or...

ghyp
 Referenced in 27 articles
[sw08162]
 plotting routines as well as the likelihood ratio test. In addition, it contains the Generalized...

RLRsim
 Referenced in 10 articles
[sw04585]
 RLRsim: Exact (Restricted) Likelihood Ratio tests for mixed and additive models , Rapid, simulationbased exact ... restricted) likelihood ratio tests for testing the presence of variance components/nonparametric terms for models...

HSMUCE
 Referenced in 13 articles
[sw27013]
 test is a combination of local likelihood ratio tests which are properly calibrated by scale...

logcondens.mode
 Referenced in 13 articles
[sw22167]
 inference about the mode via a likelihood ratio test. Extension of the logcondens package...

LDR
 Referenced in 12 articles
[sw08893]
 estimation of d by use of likelihoodratio testing, permutation testing and information criteria...

PhyML
 Referenced in 11 articles
[sw10915]
 parametric bootstrap and the approximate likelihood ratio test). (http://packages.ubuntu.com/lucid/science/phyml)...

IRTLRDIF
 Referenced in 7 articles
[sw11676]
 Statistics Involved in Item Response Theory LikelihoodRatio Tests for Differential Item Functioning. IRTLRDIF ... software that computes likelihood ratio tests of DIF for the 3PL and graded IRT models...

ELYP
 Referenced in 6 articles
[sw16017]
 YangPrentice (2005) Model. Empirical likelihood ratio tests for the Yang and Prentice (short/long term ... hazards ratio) models. Empirical likelihood tests within a Cox model, for parameters defined via both...

ic.infer
 Referenced in 6 articles
[sw14709]
 inequality constraints and implements normal likelihood ratio tests involving inequalityconstrained hypotheses. For inequalityconstrained...

TVICA
 Referenced in 6 articles
[sw25995]
 approximated as constant. A sequential log likelihoodratio testing procedure is used to automatically identify...

ProtTest 3
 Referenced in 4 articles
[sw23032]
 that it does not include likelihood ratio tests, as not all models included in ProtTest ... Guindon and Gascuel, 2003) for the maximum likelihood (ML) estimation of phylogenetic trees and model...

afex
 Referenced in 4 articles
[sw20405]
 parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type...

vx_dbel
 Referenced in 3 articles
[sw37455]
 Testing Symmetry of Data Distributions and KSample Comparisons. In practice, parametric likelihoodratio techniques ... simple distributionfree test statistics that efficiently approximate parametric likelihood ratios to analyze and compare ... execute exact densitybased empirical likelihoodratio tests using K samples. To calculate pvalues ... generations of test statistic values as data used to depict the likelihood function. In this...

rSeqDiff
 Referenced in 2 articles
[sw27647]
 from RNASeq Data Using Hierarchical Likelihood Ratio Test. Highthroughput sequencing of transcriptomes ... these three cases and use hierarchical likelihood ratio test for model selection. Simulation studies show...

condivreg
 Referenced in 3 articles
[sw37512]
 Tests and confidence sets with correct size when instruments are potentially weak. We consider inference ... AndersonRubin, Lagrange multiplier, and conditional likelihoodratio tests. Our confidence sets have correct coverage...

Survival Kit
 Referenced in 3 articles
[sw24155]
 timedependent. Features include likelihood ratio tests for the full model and any submodel, prediction...

PMHT
 Referenced in 5 articles
[sw03183]
 within this framework. A sequential likelihoodratio (LR) test for track extraction has been developed...

iZID
 Referenced in 2 articles
[sw32719]
 KolmogorovSmirnov (KS) test and likelihood ratio test for zeroinflated count data, based ... inflated or hurdle models and obtain maximum likelihood estimate of unknown parameters in these models...