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rlme: Rank-Based Estimation and Prediction in Random Effects Nested Models

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Version

Install

install.packages('rlme')

Monthly Downloads

773

Version

0.5

License

GPL (>= 2)

Maintainer

Yusuf Bilgic

Last Published

January 9th, 2018

Functions in rlme (0.5)

getgrstplot

Q-Q Plot and Standardized Residual Plot for the GR fit.
getlmestplot

Q-Q Plot and Standardized Residual Plot for the REML or ML fit.
dispvar

Rank-based dispersion estimate.
beta_var

Estimate fixed-effect variance for Joint Rank Method (JR) in three-level nested design.
compare.fits

Compare Fits
JR_est

JR Method
LM_est

Linear Model Estimation using the nlme package.
GEER_est

GEER: General Estimating Equation Rank-Based Estimation Method
GR_est

GR Method
fitdvcov

Fitdvcov
hbrwts_gr

HBR Weight
instruction

Instruction
stanresidgr

Calculate Standard Residuals
summary.rlme

rlme Summary
lmr

Rank Based Fixed Effect Regression
minimize_dispersion

Minimize Dispersion Function
wilonestep

Wilcoxon estimate for independent linear models
wilstep

Wilcoxon One Step Rank-based Estimate in GR Method
rhosect

Subcluster Correlation Coefficient Estimate
rlme-package

rlme
rlme

Rank-based Estimates for Mixed-Effects Nested Models
rpr

Cluster and Subcluster effects
plot.rlme

Plot rlme Fit
rhosch

Cluster Correlation Coefficient Estimate
rprmeddis

Rprmeddis
schools

PISA Literacy Data