CombMSC-package | Combined Model Selection Criteria |
Adj.Rsq | Adjusted R-Squared |
Adj.Rsq.fmo | Adjusted R-Squared |
Adj.Rsq.lm | Adjusted R-Squared |
AIC.fmo | AIC |
BIC | Akaike Information Criterion |
BIC.fmo | Akaike Information Criterion |
CombMSC | Combined Model Selection Criteria |
compare | Compare 2 msc objects |
Cp | Mallows Cp |
Cp.fmo | Mallows Cp |
Cp.lm | Mallows Cp |
fit.Models | Generic model fitting |
fit.Models.glmFormula | Generic model fitting |
fit.Models.lmFormula | Generic model fitting |
fit.Models.tsm | Generic model fitting |
gen.Data | Simulate Data Sets |
gen.Data.glmFormula | Simulate Data Sets |
gen.Data.lmFormula | Simulate Data Sets |
gen.Data.tsm | Simulate Data Sets |
gen.Params | Simulate parameters |
gen.Params.lmFormula | Simulate parameters |
gen.Params.tsm | Simulate parameters |
holdout.Mean | Holdout Sample Prediction Errors |
holdout.Mean.Arima | Holdout Sample Prediction Errors |
holdout.Mean.default | Holdout Sample Prediction Errors |
holdout.Mean.fmo | Holdout Sample Prediction Errors |
holdout.Mean.lm | Holdout Sample Prediction Errors |
holdout.Med | Holdout Sample Prediction Errors |
holdout.Med.Arima | Holdout Sample Prediction Errors |
holdout.Med.default | Holdout Sample Prediction Errors |
holdout.Med.fmo | Holdout Sample Prediction Errors |
holdout.Med.lm | Holdout Sample Prediction Errors |
holdout.SS | Holdout Sample Prediction Errors |
holdout.SS.Arima | Holdout Sample Prediction Errors |
holdout.SS.default | Holdout Sample Prediction Errors |
holdout.SS.fmo | Holdout Sample Prediction Errors |
holdout.SS.lm | Holdout Sample Prediction Errors |
make.Model.List.Reg | Make Model Lists |
make.Model.List.TS | Make Model Lists |
num.Terms | Number of terms (parameters) in a model |
num.Terms.formula | Number of terms (parameters) in a model |
num.Terms.tsm | Number of terms (parameters) in a model |
plot.msc | Display an msc object |
PRESS | PRESS |
PRESS.fmo | PRESS |
PRESS.lm | PRESS |
print.msc | Default print method for an msc object |
print.summary.msc | Default print method for a summary of an msc object |
print.tsm | Default print method for a tsm object |
sarima.Sim | Simulate from a specified SARIMA model |
sgnf | Significance of an msc object |
splitTrainTest | Split a time series into training and testing sets |
subsets | Generate all the combinations of k out of n elements |
summary.msc | Default print method for a summary of an msc object |
TMC | Compare model selection criteria |
weight.Only.N | Weight Only Models of Size N |
weightsGivenSize | Generate weight vector based on prior on model size |