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iandryden
shapes:Statistical Shape Analysis
Routines for the statistical analysis of landmark shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thin-plate spline transformation grids and comparing covariance matrices. See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis, with Applications in R (2nd Edition), John Wiley and Sons.
Maintained by Ian Dryden. Last updated 7 days ago.
7 stars 8.61 score 225 scripts 24 dependentsfawda123
WtRegDO:Implement Weighted Regression on Dissolved Oxygen Time Series
A sample dataset and functions to implement weighted regression on dissolved oxygen time series are included as a simple example to reduce the effects of tidal advection. Functions are also available to estimate net ecosystem metabolism using the open-water method.
Maintained by Marcus W. Beck. Last updated 10 months ago.
detidingmetabolismweighted-regression
5 stars 3.32 score 42 scriptsheidiseibold
model4you:Stratified and Personalised Models Based on Model-Based Trees and Forests
Model-based trees for subgroup analyses in clinical trials and model-based forests for the estimation and prediction of personalised treatment effects (personalised models). Currently partitioning of linear models, lm(), generalised linear models, glm(), and Weibull models, survreg(), is supported. Advanced plotting functionality is supported for the trees and a test for parameter heterogeneity is provided for the personalised models. For details on model-based trees for subgroup analyses see Seibold, Zeileis and Hothorn (2016) <doi:10.1515/ijb-2015-0032>; for details on model-based forests for estimation of individual treatment effects see Seibold, Zeileis and Hothorn (2017) <doi:10.1177/0962280217693034>.
Maintained by Heidi Seibold. Last updated 5 months ago.
1.11 score 13 scripts