A BIOMOD.models.options
object containing for each single model available in
biomod2 the parameter values pre-defined by biomod2 team.
OptionsBigboss
A BIOMOD.models.options
object with some changed values :
ANN.binary.nnet.nnet
size = 5
decay = 5
trace = FALSE
rang = 0.1
maxit = 200
CTA.binary.rpart.rpart
method = 'class'
control = list(xval = 5, minbucket = 5, minsplit = 5, cp = 0.001, maxdepth = 25)
cost = NULL
FDA.binary.mda.fda
method = 'mars'
GAM.binary.gam.gam
GAM.binary.mgcv.bam
GAM.binary.mgcv.gam
family = binomial(link = 'logit')
method = 'GCV.Cp'
control = list(epsilon = 1e-06, trace = FALSE, maxit = 100)
GBM.binary.gbm.gbm
n.trees = 2500
interaction.depth = 7
n.minobsinnode = 5
shrinkage = 0.001
cv.folds = 3
keep.data = FALSE
n.cores = 1
GLM.binary.stats.glm
family = binomial(link = 'logit')
mustart = 0.5
control = glm.control(maxit = 50)
MARS.binary.earth.earth
glm = list(family = binomial(link = 'logit'))
ncross = 0
nk = NULL
penalty = 2
thresh = 0.001
nprune = NULL
pmethod = 'backward'
MAXENT.binary.MAXENT.MAXENT
path_to_maxent.jar = '.'
RF.binary.randomForest.randomForest
type = 'classification'
ntree = 500
mtry = NULL
strata = factor(c(0, 1))
sampsize = NULL
nodesize = 5
maxnodes = NULL
SRE.binary.biomod2.bm_SRE
do.extrem = TRUE
XGBOOST.binary.xgboost.xgboost
params = list(max_depth = 2, eta = 1)
nthread = 2
nrounds = 4
objective = 'binary:logistic'