Tool stats & trends
Looking to identify usage trends or leading experts?
|Interface||Graphical user interface|
|Restrictions to use||None|
No version available
Publication for CTree
A broad atlas of somatic hypermutation allows prediction of activation induced deaminase targets
[…] The conditional inference tree for classification was built using the ctree function from the party R package with default parameters. Genes with a background mutation frequency >5 × 10−4 were excluded to avoid artifacts. The following variables were fed into the model […]
Estimating population extinction thresholds with categorical classification trees for Louisiana black bears
[…] e-specific numeric scales where N and λ could range from 0 to ∞ and φ could range from 0 to 1.We used the same training data sets and explanatory variables as our variable importance analysis and the ctree function in the R package party  to grow separate classification trees for each set of predictor variables for the TRB and UARB. We converted the EXTANT variable from the variable importance d […]
Predictive modeling of emergency cesarean delivery
[…] ke information criterion (AIC). Their DA was assessed through their areas under the receiver-operating-characteristic (ROC) curves (AUCs) along with their 95% CI.We then fitted a classification tree (CTREE or conditionally unbiased inference classification tree), a relatively new and useful predictive technique for studying RFs and outcomes based on the unbiased recursive splitting of the study po […]
Determination of size, sex and maturity stage of free swimming catsharks using laser photogrammetry
[…] he RF models characterised by a good prediction performance and enabled to identify the range of the morphometric ratios values associated with each sex and/or maturity stage of male and female. The ‘ctree’ function for conditional inference trees in the ‘party’ R package (Hothorn et al. ) was used. Live fish (males) were then used to test if the trade-off values of the morphometric ratios identif […]
Decision trees in epidemiological research
[…] In both CART and CTree, splitting continues until a stopping rule triggers. In CART, splitting stops when the relative reduction in error resulting from the best split falls below a pre-specified threshold known as th […]
Hunting of roe deer and wild boar in Germany: Is non lead ammunition suitable for hunting?
[…] ees . Conditional inference trees recursively perform univariate splits  of the dependent variable based on values of different covariates. Conditional inference trees were constructed using the “ctree” function from the R package Party version 1.0–21  with statistics software R version 3.3.1. These non-parametric regression trees can be used for nominal, ordinal, numerical, censored and mul […]
Looking to check out a full list of citations?
Be the first to review CTree