Deprecated functions in package biomod2.

The functions listed below are deprecated and were removed in the current version. When possible, alternative functions with similar functionality are mentioned. Help pages for deprecated functions are available at help("<function>-deprecated").

BIOMOD_CrossValidation(...)

BIOMOD_ModelingOptions(...)

BIOMOD_PresenceOnly(...)

BIOMOD_Tuning(...)

BinaryTransformation(...)

calculate.stat(...)

Find.Optim.Stat(...)

getStatOptimValue(...)

makeFormula(...)

models_scores_graph(...)

ProbDensFunc(...)

response.plot2(...)

sample.factor.levels(...)

sre(...)

.transform.outputs.list(...)

variables_importance(...)

BIOMOD_CrossValidation

For BIOMOD_CrossValidation use bm_CrossValidation.

BIOMOD_ModelingOptions

For BIOMOD_ModelingOptions use bm_ModelingOptions.

BIOMOD_PresenceOnly

For BIOMOD_PresenceOnly use bm_FindOptimStat.

BIOMOD_Tuning

For BIOMOD_Tuning use bm_Tuning.

BinaryTransformation

For BinaryTransformation use bm_BinaryTransformation.

calculate.stat

For calculate.stat use bm_CalculateStat.

Find.Optim.Stat

For Find.Optim.Stat use bm_FindOptimStat.

getStatOptimValue

For getStatOptimValue use get_optim_value.

makeFormula

For makeFormula use bm_MakeFormula.

models_scores_graph

For models_scores_graph use bm_PlotEvalMean.

ProbDensFunc

For ProbDensFunc use bm_PlotRangeSize.

response.plot2

For response.plot2 use bm_PlotResponseCurves.

sample.factor.levels

For sample.factor.levels use bm_SampleFactorLevels.

sre

For sre use bm_SRE.

.transform.outputs.list

For .transform.outputs.list use .transform_outputs_list.

variables_importance

For variables_importance use bm_VariablesImportance.