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rlme: Rank-Based Estimation and Prediction in Random Effects Nested Models
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Version
Version
0.5
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Install
install.packages('rlme')
Monthly Downloads
1,013
Version
0.5
License
GPL (>= 2)
Maintainer
Yusuf Bilgic
Last Published
January 9th, 2018
Functions in rlme (0.5)
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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