Pages that link to "Item:Q2788434"
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The following pages link to partykit: a modular toolkit for recursive partytioning in \texttt{R} (Q2788434):
Displaying 23 items.
- partykit (Q22593) (← links)
- Generalised Linear Model Trees with Global Additive Effects (Q137903) (← links)
- An alternative pruning based approach to unbiased recursive partitioning (Q1658507) (← links)
- Interval forecasts based on regression trees for streaming data (Q2036138) (← links)
- Network trees: a method for recursively partitioning covariance structures (Q2065251) (← links)
- An explicit split point procedure in model-based trees allowing for a quick fitting of GLM trees and GLM forests (Q2066746) (← links)
- A note on the structural change test in highly parameterized psychometric models (Q2088928) (← links)
- Computation and application of generalized linear mixed model derivatives using \textit{lme4} (Q2088938) (← links)
- Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning (Q2103863) (← links)
- Ensemble learning from model based trees with application to differential price sensitivity assessment (Q2127069) (← links)
- Ordinal trees and random forests: score-free recursive partitioning and improved ensembles (Q2169870) (← links)
- Count regression trees (Q2183647) (← links)
- Measuring the Stability of Results From Supervised Statistical Learning (Q3391150) (← links)
- Random forests, decision trees, and categorical predictors: the ``absent levels'' problem (Q4558194) (← links)
- Tree aggregation for random forest class probability estimation (Q4970316) (← links)
- Repeated measures random forests (RMRF): Identifying factors associated with nocturnal hypoglycemia (Q6094218) (← links)
- Integration of model-based recursive partitioning with bias reduction estimation: a case study assessing the impact of Oliver's four factors on the probability of winning a basketball game (Q6107421) (← links)
- Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models (Q6189827) (← links)
- Hybrid statistical and machine learning modeling of cognitive neuroscience data (Q6571996) (← links)
- Subgroup identification using covariate-adjusted interaction trees (Q6625193) (← links)
- Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials (Q6625334) (← links)
- Exploratory identification of predictive biomarkers in randomized trials with normal endpoints (Q6627504) (← links)
- Model-based random forests for ordinal regression (Q6636050) (← links)
