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vcrpart (version 1.0-1)

Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models

Description

Recursive partitioning for varying coefficient generalized linear models and ordinal linear mixed models. Special features are coefficient-wise partitioning, non-varying coefficients and partitioning of time-varying variables in longitudinal regression.

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Version

Install

install.packages('vcrpart')

Monthly Downloads

215

Version

1.0-1

License

GPL (>= 2)

Maintainer

Reto Buergin

Last Published

October 17th, 2017

Functions in vcrpart (1.0-1)

Control parameters for olmm.

Methods for fvcm objects

Bagging and Random Forests based on tvcm

Effect of parental leave policy

Contrast matrices

Predict outcome probabilities and responses for olmm objects

Printing and summarizing olmm objects

Methods for score processes of olmm objects

Methods for olmm objects

Coefficient-wise tree-based varying coefficient regression based on generalized linear models

Poverty in Switzerland

National Institute of Mental Health shizophrenia study

plot method for tvcm objects.

Fitting ordinal and nominal two-stage linear mixed models

Time-series plot for longitudinal ordinal data

Tree-based varying coefficient regression models

tvcm-assessment

Model selection utility functions for tvcm objects.

Methods for tvcm objects

vcrpart-formula

Special terms for formulas.

Control parameters for tvcm.

Tree-based varying coefficient regression based on ordinal and nominal two-stage linear mixed models.

Synthetic data sets