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bozenne
lavaSearch2:Tools for Model Specification in the Latent Variable Framework
Tools for model specification in the latent variable framework (add-on to the 'lava' package). The package contains three main functionalities: Wald tests/F-tests with improved control of the type 1 error in small samples, adjustment for multiple comparisons when searching for local dependencies, and adjustment for multiple comparisons when doing inference for multiple latent variable models.
Maintained by Brice Ozenne. Last updated 9 months ago.
inferencelatent-variable-modelsstatisticsopenblascpp
4.59 score 155 scripts
lhvanegasp
glmtoolbox:Set of Tools to Data Analysis using Generalized Linear Models
Set of tools for the statistical analysis of data using: (1) normal linear models; (2) generalized linear models; (3) negative binomial regression models as alternative to the Poisson regression models under the presence of overdispersion; (4) beta-binomial and random-clumped binomial regression models as alternative to the binomial regression models under the presence of overdispersion; (5) Zero-inflated and zero-altered regression models to deal with zero-excess in count data; (6) generalized nonlinear models; (7) generalized estimating equations for cluster correlated data.
Maintained by Luis Hernando Vanegas. Last updated 8 months ago.
1 stars 3.10 score 149 scripts