WebJul 14, 2024 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers. Webgamlss citation info To cite GAMLSS in publications use: Rigby RA, Stasinopoulos DM (2005). “Generalized additive models for location, scale and shape, (with discussion).” Applied Statistics, 54, 507-554. We have invested a lot of time and effort in creating GAMLSS, please cite it when using it for data analysis. Corresponding BibTeX entry:
gamlss - for statistical modelling
WebCRAN - Package mgcv Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. Web2 gamlss.lasso-package gamlss.lasso-package Extra Lasso-Type Additive Terms for GAMLSS Description Interface for extra high-dimensional smooth functions for Generalized Additive Models for Lo-cation Scale and Shape (GAMLSS) including (adaptive) lasso, ridge, elastic net and least angle regression. Details The DESCRIPTION file: Package: … cheaper version of spy
The R packages - gamlss
Web8 gamlss_tidiers gamlss_tidiers Tidying methods for gamlss objects Description Tidying methods for "gamlss" objects from the gamlss package. Usage ## S3 method for class ’gamlss’ tidy(x, quick = FALSE, conf.int = FALSE, conf.level = 0.95, ...) Arguments x A "gamlss" object quick Whether to perform a fast version, and return only the ... WebMar 7, 2024 · The gamlss.censpackage implements the generalised additive model for location, scale and shape that can be fitted to censored data. The locfit.censorfunction in locfitproduces local regression estimates. The crqfunction included in the quantregpackage implements a conditional quantile regression model for censored data. WebNov 3, 2024 · CHiCANE is a toolkit for identifying chromatin regions that interact more often than expected by chance given the specific interaction dynamics of a capture Hi-C (CHi-C) experiment. It offers extensive flexibility in implementing interaction calling via numerous optional parameters so that it can be tailored to a wide range of CHi-C experiments. cuyahoga falls electric outage