Bootstrap Resampling for Multilevel Models

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Documentation for package ‘bootmlm’ version 0.1.1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

bootstrap_mer	Run Various Bootstrap for Mixed Models.
confint.boot	Bootstrap confidence intervals for Two-Level Mixed Models
devfun_mer	Deviance Function for Multilevel Models
devfun_mer2	Deviance Function for Multilevel Models
empinf_mer	Empirical Influence Values for Two-Level Mixed Models
empinf_merm	Empirical Influence Values for Two-Level Mixed Models
pop_syn	Synthetic Pupil Popularity Dataset
prof_ci_icc	Profile Likelihood Confidence Interval for Intraclass Correlation
scores_mer	Score Functions and Case-wise Derivatives
solve_eigen_sqrt	Get the square root of a matrix using eigenvalue decomposition, and solve for a linear system
vcov_theta	Asymptotic Covariance Matrix for Cholesky Factor of Random Effects
vcov_vc	Asymptotic Covariance Matrix for Random Effects