MuMIn-package |
Multi-model inference |
AICc |
Second-order Akaike Information Criterion |
append.model.selection |
Combine model selection tables |
arm.glm |
Adaptive Regression by Mixing |
armWeights |
Adaptive Regression by Mixing |
Beetle |
Flour beetle mortality data |
beta.weights |
Standardized model coefficients |
BGWeights |
Bates-Granger minimal variance model weights |
bootWeights |
Bootstrap model weights |
CAICF |
Various information criteria |
Cement |
Cement hardening data |
coeffs |
Model utility functions |
coefplot |
Plot model coefficients |
coefTable |
Model utility functions |
coefTable.averaging |
Model utility functions |
coefTable.default |
Model utility functions |
coefTable.gee |
Model utility functions |
coefTable.lme |
Model utility functions |
cos2Weights |
Cos-squared model weights |
Cp |
Various information criteria |
dc |
Automated model selection |
DIC |
Various information criteria |
dredge |
Automated model selection |
expand.formula |
Manipulate model formulas |
exprApply |
Apply a function to calls inside an expression |
gamm-wrapper |
Make a function return updateable result |
get.models |
Retrieve models from selection table |
get.response |
Model utility functions |
getAllTerms |
Model utility functions |
getAllTerms.terms |
Model utility functions |
get_call |
Make a function return updateable result |
GPA |
Grade Point Average data |
has |
Subsetting model selection table |
IC |
Various information criteria |
ICOMP |
Various information criteria |
importance |
Per-variable sum of model weights |
jackknifeWeights |
Jackknifed model weights |
loo |
Leave-one-out cross-validation |
loo.default |
Leave-one-out cross-validation |
loo.lm |
Leave-one-out cross-validation |
Mallows' Cp |
Various information criteria |
merge.model.selection |
Combine model selection tables |
mod.sel |
model selection table |
model.avg |
Model averaging |
model.avg.default |
Model averaging |
model.avg.model.selection |
Model averaging |
model.names |
Model utility functions |
model.sel |
model selection table |
model.sel.default |
model selection table |
model.sel.model.selection |
model selection table |
model.sel<- |
model selection table |
model.selection.object |
Description of Model Selection Objects |
MuMIn |
Multi-model inference |
MuMIn-gamm |
Make a function return updateable result |
MuMIn-model-utils |
Model utility functions |
MuMIn-models |
List of supported models |
nested |
Identify nested models |
null.fit |
Likelihood-ratio based pseudo-R-squared |
par.avg |
Parameter averaging |
partial.sd |
Standardized model coefficients |
pdredge |
Automated model selection using parallel computation |
pget.models |
Retrieve models from selection table |
plot.averaging |
Plot model coefficients |
plot.model.selection |
Visualize model selection table |
predict.averaging |
Predict method for averaged models |
print.averaging |
Model averaging |
print.model.selection |
Automated model selection |
QAIC |
Quasi AIC or AICc |
QAICc |
Quasi AIC or AICc |
QIC |
QIC and quasi-Likelihood for GEE |
QICu |
QIC and quasi-Likelihood for GEE |
quasiLik |
QIC and quasi-Likelihood for GEE |
r.squaredGLMM |
Pseudo-R-squared for Generalized Mixed-Effect models |
r.squaredGLMM.merMod |
Pseudo-R-squared for Generalized Mixed-Effect models |
r.squaredLR |
Likelihood-ratio based pseudo-R-squared |
rbind.model.selection |
Combine model selection tables |
simplify.formula |
Manipulate model formulas |
stackingWeights |
Stacking model weights |
std.coef |
Standardized model coefficients |
stdize |
Standardize data |
stdize.data.frame |
Standardize data |
stdize.default |
Standardize data |
stdize.formula |
Standardize data |
stdize.logical |
Standardize data |
stdizeFit |
Standardize data |
subset.model.selection |
Subsetting model selection table |
sum.of.weights |
Per-variable sum of model weights |
sw |
Per-variable sum of model weights |
tTable |
Model utility functions |
uGamm |
Make a function return updateable result |
updateable |
Make a function return updateable result |
updateable2 |
Make a function return updateable result |
V |
Automated model selection |
Weights |
Akaike weights |
Weights<- |
Akaike weights |
[.model.selection |
Subsetting model selection table |
[[.model.selection |
Subsetting model selection table |