A B C D E F G H I L M N P Q R S V W misc
mboost-package | mboost: Model-Based Boosting |
AdaExp | Gradient Boosting Families |
AIC.mboost | Methods for Gradient Boosting Objects |
as.data.frame.varimp | Variable Importance |
AUC | Gradient Boosting Families |
base-learner | Base-learners for Gradient Boosting |
baselearner | Base-learners for Gradient Boosting |
baselearners | Base-learners for Gradient Boosting |
bbs | Base-learners for Gradient Boosting |
Binomial | Gradient Boosting Families |
bkernel | Base-learners for Gradient Boosting |
blackboost | Gradient Boosting with Regression Trees |
bmono | Base-learners for Gradient Boosting |
bmrf | Base-learners for Gradient Boosting |
bns | Base-learners for Gradient Boosting |
bols | Base-learners for Gradient Boosting |
boost_control | Control Hyper-parameters for Boosting Algorithms |
boost_family-class | Class "boost_family": Gradient Boosting Family |
brad | Base-learners for Gradient Boosting |
brandom | Base-learners for Gradient Boosting |
bspatial | Base-learners for Gradient Boosting |
bss | Base-learners for Gradient Boosting |
btree | Base-learners for Gradient Boosting |
buser | Base-learners for Gradient Boosting |
Cindex | Gradient Boosting Families |
coef.glmboost | Methods for Gradient Boosting Objects |
coef.mboost | Methods for Gradient Boosting Objects |
confint.glmboost | Pointwise Bootstrap Confidence Intervals |
confint.mboost | Pointwise Bootstrap Confidence Intervals |
CoxPH | Gradient Boosting Families |
cv | Cross-Validation |
cvrisk | Cross-Validation |
cvrisk.mboost | Cross-Validation |
downstream.test | Methods for Gradient Boosting Objects |
ExpectReg | Gradient Boosting Families |
extract | Methods for Gradient Boosting Objects |
extract.blackboost | Methods for Gradient Boosting Objects |
extract.blg | Methods for Gradient Boosting Objects |
extract.bl_lin | Methods for Gradient Boosting Objects |
extract.bl_tree | Methods for Gradient Boosting Objects |
extract.gamboost | Methods for Gradient Boosting Objects |
extract.glmboost | Methods for Gradient Boosting Objects |
extract.mboost | Methods for Gradient Boosting Objects |
Family | Gradient Boosting Families |
fitted.mboost | Methods for Gradient Boosting Objects |
FP | Fractional Polynomials |
gamboost | Gradient Boosting for Additive Models |
GammaReg | Gradient Boosting Families |
GaussClass | Gradient Boosting Families |
Gaussian | Gradient Boosting Families |
GaussReg | Gradient Boosting Families |
Gehan | Gradient Boosting Families |
glmboost | Gradient Boosting with Component-wise Linear Models |
glmboost.default | Gradient Boosting with Component-wise Linear Models |
glmboost.formula | Gradient Boosting with Component-wise Linear Models |
glmboost.matrix | Gradient Boosting with Component-wise Linear Models |
hatvalues.gamboost | Methods for Gradient Boosting Objects |
hatvalues.glmboost | Methods for Gradient Boosting Objects |
Huber | Gradient Boosting Families |
Hurdle | Gradient Boosting Families |
IPCweights | Inverse Probability of Censoring Weights |
Laplace | Gradient Boosting Families |
lines.mboost | Plot effect estimates of boosting models |
lines.mboost.ci | Pointwise Bootstrap Confidence Intervals |
logLik.mboost | Methods for Gradient Boosting Objects |
Loglog | Gradient Boosting Families |
Lognormal | Gradient Boosting Families |
mboost | Gradient Boosting for Additive Models |
mboost_fit | Model-based Gradient Boosting |
mboost_methods | Methods for Gradient Boosting Objects |
mboost_package | mboost: Model-Based Boosting |
mstop | Methods for Gradient Boosting Objects |
mstop.cvrisk | Methods for Gradient Boosting Objects |
mstop.gbAIC | Methods for Gradient Boosting Objects |
mstop.mboost | Methods for Gradient Boosting Objects |
mstop<- | Methods for Gradient Boosting Objects |
Multinomial | Gradient Boosting Families |
NBinomial | Gradient Boosting Families |
nuisance | Methods for Gradient Boosting Objects |
nuisance.mboost | Methods for Gradient Boosting Objects |
package-mboost | mboost: Model-Based Boosting |
package_mboost | mboost: Model-Based Boosting |
plot | Plot effect estimates of boosting models |
plot.cvrisk | Cross-Validation |
plot.glmboost | Plot effect estimates of boosting models |
plot.mboost | Plot effect estimates of boosting models |
plot.mboost.ci | Pointwise Bootstrap Confidence Intervals |
plot.survFit | Survival Curves for a Cox Proportional Hazards Model |
plot.varimp | Variable Importance |
Poisson | Gradient Boosting Families |
predict.blackboost | Methods for Gradient Boosting Objects |
predict.gamboost | Methods for Gradient Boosting Objects |
predict.glmboost | Methods for Gradient Boosting Objects |
predict.mboost | Methods for Gradient Boosting Objects |
print.cvrisk | Cross-Validation |
print.glmboost | Methods for Gradient Boosting Objects |
print.glmboost.ci | Pointwise Bootstrap Confidence Intervals |
print.mboost | Methods for Gradient Boosting Objects |
PropOdds | Gradient Boosting Families |
QuantReg | Gradient Boosting Families |
RCG | Gradient Boosting Families |
resid.mboost | Methods for Gradient Boosting Objects |
residuals.mboost | Methods for Gradient Boosting Objects |
risk | Methods for Gradient Boosting Objects |
risk.mboost | Methods for Gradient Boosting Objects |
selected | Methods for Gradient Boosting Objects |
selected.mboost | Methods for Gradient Boosting Objects |
show-method | Class "boost_family": Gradient Boosting Family |
stabsel | Stability Selection |
stabsel.mboost | Stability Selection |
stabsel_parameters.mboost | Stability Selection |
summary.mboost | Methods for Gradient Boosting Objects |
survFit | Survival Curves for a Cox Proportional Hazards Model |
survFit.mboost | Survival Curves for a Cox Proportional Hazards Model |
variable.names.glmboost | Methods for Gradient Boosting Objects |
variable.names.mboost | Methods for Gradient Boosting Objects |
varimp | Variable Importance |
varimp.mboost | Variable Importance |
Weibull | Gradient Boosting Families |
%+% | Base-learners for Gradient Boosting |
%O% | Base-learners for Gradient Boosting |
%X% | Base-learners for Gradient Boosting |
[.mboost | Methods for Gradient Boosting Objects |