Tree-based learning of varying coefficients in ordinal 2-stage linear mixed models


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Documentation for package ‘vcolmm’ version 0.1-11

Help Pages

anova.olmm Class 'olmm'
coef.olmm Class 'olmm'
coef.tvcolmm Methods for 'tvcolmm' objects
coefficients.olmm Class 'olmm'
coefficients.tvcolmm Methods for 'tvcolmm' objects
cv.tvcolmm Cross-validation for 'tvcolmm' objects.
deviance.olmm Class 'olmm'
drop1.olmm Class 'olmm'
estfun.olmm Methods for empirical processes of 'olmm' objects
extract Extract characteristics of a fitted object.
extract.tvcolmm Methods for 'tvcolmm' objects
fitted.olmm Class 'olmm'
fitted.tvcolmm Methods for 'tvcolmm' objects
fixef Extract fixed-effects estimates
fixef.olmm Class 'olmm'
formula.olmm Class 'olmm'
fvcolmm Bagging and random forests using the 'tvcolmm' algorithm.
gefp.olmm Methods for empirical processes of 'olmm' objects
getCall.olmm Class 'olmm'
getCall.tvcolmm Methods for 'tvcolmm' objects
logLik.fvcolmm Bagging and random forests using the 'tvcolmm' algorithm.
logLik.olmm Class 'olmm'
logLik.tvcolmm Methods for 'tvcolmm' objects
model.frame.olmm Class 'olmm'
model.frame.tvcolmm Methods for 'tvcolmm' objects
model.matrix.olmm Class 'olmm'
movie Movie critics
neglogLik Extract the negative log-Likelihood of a model.
neglogLik.fvcolmm Bagging and random forests using the 'tvcolmm' algorithm.
neglogLik.olmm Class 'olmm'
neglogLik.tvcolmm Methods for 'tvcolmm' objects
olmm Fitting ordinal 2-stage linear mixed models
olmm-class Class 'olmm'
olmm_scoreTransfMat Methods for empirical processes of 'olmm' objects
otsplot Time-series plot for ordinal longitudinal data
otsplot.default Time-series plot for ordinal longitudinal data
otsplot.formula Time-series plot for ordinal longitudinal data
otsplot_1 Synthetic data sets
plot.cv.tvcolmm Cross-validation for 'tvcolmm' objects.
plot.fvcolmm Bagging and random forests using the 'tvcolmm' algorithm.
plot.stabpath.tvcolmm Cross-validation for 'tvcolmm' objects.
plot.tvcolmm 'plot' method for 'tvcolmm' objects
predict.fvcolmm Bagging and random forests using the 'tvcolmm' algorithm.
predict.olmm Predict outcome probabilities and responses for 'olmm' objects
predict.tvcolmm Methods for 'tvcolmm' objects
print.fvcolmm Bagging and random forests using the 'tvcolmm' algorithm.
print.olmm Summarizing ordinal linear mixed model fits
print.summary.olmm Summarizing ordinal linear mixed model fits
print.tvcolmm Methods for 'tvcolmm' objects
print.VarCorr.olmm Class 'olmm'
prune Pruning of regression tree objects
prune.tvcolmm Methods for 'tvcolmm' objects
ranef Extract random-effect estimates
ranef.olmm Class 'olmm'
ranef.tvcolmm Methods for 'tvcolmm' objects
ranefCov Extract estimated covariance matrix of random effects
ranefCov.olmm Class 'olmm'
resid.olmm Class 'olmm'
resid.tvcolmm Methods for 'tvcolmm' objects
residuals.olmm Class 'olmm'
residuals.tvcolmm Methods for 'tvcolmm' objects
reweight.olmm Class 'olmm'
schizo National Institute of Mental Health shizophrenia study
show-method Class 'olmm'
stabpath.tvcolmm Cross-validation for 'tvcolmm' objects.
summary.olmm Summarizing ordinal linear mixed model fits
terms.olmm Class 'olmm'
tvcolmm Ordinal linear mixed models with varying coefficients
tvcolmm-class Ordinal linear mixed models with varying coefficients
tvcolmm-methods Methods for 'tvcolmm' objects
tvcolmm-plot 'plot' method for 'tvcolmm' objects
tvcolmm_1 Synthetic data sets
tvcolmm_2 Synthetic data sets
tvcolmm_control Control parameters for 'tvcolmm'.
tvcolmm_folds Cross-validation for 'tvcolmm' objects.
update.olmm Class 'olmm'
VarCorr Extract variance and correlation components
VarCorr.olmm Class 'olmm'
vcov.olmm Class 'olmm'
weights.olmm Class 'olmm'