Analysis of Incomplete Multivariate Data under a Normal Model

[Up] [Top]

Documentation for package ‘norm2’ version 2.0.4

Help Pages

norm2-package Analysis of incomplete multivariate data under a normal model
cholesterol Cholesterol levels for heart-attack patients
emNorm EM algorithm for incomplete multivariate normal data
emNorm.default EM algorithm for incomplete multivariate normal data
emNorm.formula EM algorithm for incomplete multivariate normal data
emNorm.norm EM algorithm for incomplete multivariate normal data
flas Foreign Language Attitude Scale
impNorm Imputation and prediction for incomplete multivariate normal data
impNorm.default Imputation and prediction for incomplete multivariate normal data
impNorm.formula Imputation and prediction for incomplete multivariate normal data
impNorm.norm Imputation and prediction for incomplete multivariate normal data
loglikNorm Observed-data loglikelikehood for incomplete multivariate normal data
loglikNorm.default Observed-data loglikelikehood for incomplete multivariate normal data
loglikNorm.formula Observed-data loglikelikehood for incomplete multivariate normal data
loglikNorm.norm Observed-data loglikelikehood for incomplete multivariate normal data
logpostNorm Observed-data log-posterior density for incomplete multivariate normal data
logpostNorm.default Observed-data log-posterior density for incomplete multivariate normal data
logpostNorm.formula Observed-data log-posterior density for incomplete multivariate normal data
logpostNorm.norm Observed-data log-posterior density for incomplete multivariate normal data
marijuana Changes in heart rate after marijuana use
mcmcNorm MCMC algorithm for incomplete multivariate normal data
mcmcNorm.default MCMC algorithm for incomplete multivariate normal data
mcmcNorm.formula MCMC algorithm for incomplete multivariate normal data
mcmcNorm.norm MCMC algorithm for incomplete multivariate normal data
miInference Combine results from analyses after multiple imputation
norm2 Analysis of incomplete multivariate data under a normal model
print.miInference Combine results from analyses after multiple imputation
print.summary.norm Summarize information from EM or MCMC algorithms
summary.norm Summarize information from EM or MCMC algorithms