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boost-r
FDboost:Boosting Functional Regression Models
Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.
Maintained by David Ruegamer. Last updated 7 days ago.
boostingboosting-algorithmsfunction-on-function-regressionfunction-on-scalar-regressionmachine-learningscalar-on-function-regressionvariable-selection
19 stars 8.43 score 98 scripts
sistm
cytometree:Automated Cytometry Gating and Annotation
Given the hypothesis of a bi-modal distribution of cells for each marker, the algorithm constructs a binary tree, the nodes of which are subpopulations of cells. At each node, observed cells and markers are modeled by both a family of normal distributions and a family of bi-modal normal mixture distributions. Splitting is done according to a normalized difference of AIC between the two families. Method is detailed in: Commenges, Alkhassim, Gottardo, Hejblum & Thiebaut (2018) <doi: 10.1002/cyto.a.23601>.
Maintained by Boris P Hejblum. Last updated 2 years ago.
9 stars 5.91 score 15 scripts 1 dependents
joeldubin
dynCorr:Dynamic Correlation Package
Computes dynamical correlation estimates and percentile bootstrap confidence intervals for pairs of longitudinal responses, including consideration of lags and derivatives.
Maintained by Joel Dubin. Last updated 7 years ago.
1.70 score 5 scripts