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' |