varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models
The issue of variance components testing arises naturally when building mixed-effects models, to decide which effects should be modeled as fixed or random or to build parsimonious models. While tests for fixed effects are available in R for models fitted with lme4, tools are missing when it comes t...
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| Language: | English |
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Foundation for Open Access Statistics
2023-09-01
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| Series: | Journal of Statistical Software |
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| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/4375 |
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| author | Charlotte Baey Estelle Kuhn |
| author_facet | Charlotte Baey Estelle Kuhn |
| author_sort | Charlotte Baey |
| collection | DOAJ |
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The issue of variance components testing arises naturally when building mixed-effects models, to decide which effects should be modeled as fixed or random or to build parsimonious models. While tests for fixed effects are available in R for models fitted with lme4, tools are missing when it comes to random effects. The varTestnlme package for R aims at filling this gap. It allows to test whether a subset of the variances and covariances corresponding to a subset of the random effects, are equal to zero using asymptotic property of the likelihood ratio test statistic. It also offers the possibility to test simultaneously for fixed effects and variance components. It can be used for linear, generalized linear or nonlinear mixed-effects models fitted via lme4, nlme or saemix. Numerical methods used to implement the test procedure are detailed and examples based on different real datasets using different mixed models are provided. Theoretical properties of the used likelihood ratio test are recalled.
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| format | Article |
| id | doaj-art-fbb94b5d7e7740d9b8547007247b8cb7 |
| institution | Kabale University |
| issn | 1548-7660 |
| language | English |
| publishDate | 2023-09-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj-art-fbb94b5d7e7740d9b8547007247b8cb72024-12-29T00:12:48ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602023-09-01107110.18637/jss.v107.i06varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects ModelsCharlotte Baey0Estelle Kuhn1Université de Lille, CNRS, UMR 8524 - Laboratoire Paul PainlevéUniversité Paris-Saclay, INRAE, UR1404 MaIAGE The issue of variance components testing arises naturally when building mixed-effects models, to decide which effects should be modeled as fixed or random or to build parsimonious models. While tests for fixed effects are available in R for models fitted with lme4, tools are missing when it comes to random effects. The varTestnlme package for R aims at filling this gap. It allows to test whether a subset of the variances and covariances corresponding to a subset of the random effects, are equal to zero using asymptotic property of the likelihood ratio test statistic. It also offers the possibility to test simultaneously for fixed effects and variance components. It can be used for linear, generalized linear or nonlinear mixed-effects models fitted via lme4, nlme or saemix. Numerical methods used to implement the test procedure are detailed and examples based on different real datasets using different mixed models are provided. Theoretical properties of the used likelihood ratio test are recalled. https://www.jstatsoft.org/index.php/jss/article/view/4375mixed modelslme4nlmevariance componentlikelihood ratio test |
| spellingShingle | Charlotte Baey Estelle Kuhn varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models Journal of Statistical Software mixed models lme4 nlme variance component likelihood ratio test |
| title | varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models |
| title_full | varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models |
| title_fullStr | varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models |
| title_full_unstemmed | varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models |
| title_short | varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models |
| title_sort | vartestnlme an r package for variance components testing in linear and nonlinear mixed effects models |
| topic | mixed models lme4 nlme variance component likelihood ratio test |
| url | https://www.jstatsoft.org/index.php/jss/article/view/4375 |
| work_keys_str_mv | AT charlottebaey vartestnlmeanrpackageforvariancecomponentstestinginlinearandnonlinearmixedeffectsmodels AT estellekuhn vartestnlmeanrpackageforvariancecomponentstestinginlinearandnonlinearmixedeffectsmodels |