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cusp (version 2.3.6)

Cusp-Catastrophe Model Fitting Using Maximum Likelihood

Description

Cobb's maximum likelihood method for cusp-catastrophe modeling (Grasman, van der Maas, and Wagenmakers (2009) ; Cobb (1981), Behavioral Science, 26(1), 75-78). Includes a cusp() function for model fitting, and several utility functions for plotting, and for comparing the model to linear regression and logistic curve models.

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Version

Install

install.packages('cusp')

Monthly Downloads

252

Version

2.3.6

License

GPL-2

Maintainer

Raoul Grasman

Last Published

August 29th, 2022

Functions in cusp (2.3.6)

cusp3d

Generate 3D plot of Cusp Catatrophe Model Fit
attitudes

Multistability in political attitudes
cusp-package

Cusp Catastrophe Modeling
cusp3d.surface

Generate 3D plot of the Cusp surface
cusp.extrema

Locate Extrema of Cusp Catastrophe Potential Function
cusp.nlogLike

Negative log-likelihood for Cobb's cusp density
cusp.logist

Fit a Logistic Surface Model to Data
cusp.nc

Calculate the Normalizing Constant of Cobb's Cusp Density
cusp

Fit a Cusp Catatrophe Model to Data
cusp.bifset

compute normal/symmetry factor borders of bifurcation set of cusp catastrophe
plotCuspBifurcation

Display Fitted Data on Control Plane of Cusp Catastrophe.
dcusp

Cobb's Cusp Distribution
summary.cusp

Summarizing Cusp Catastrophe Model Fits
oliva

Synthetic cusp data set
draw.cusp.bifset

Add Cusp Bifurcation Set Diagram to Existing Plot
plotCuspResidfitted

Residuals against Fitted Plot for Cusp Model Fit
vcov.cusp

Calculate Variance-Covariance Matrix for a Fitted Cusp Model Object
plotCuspDensities

Plot Cusp State Variable Densities Conditioned on Control Parameter Values
plot.cusp

Graphical Diagnostic Display of Cusp Catastrophe Data Fit
predict.cusp

Predict method for Cusp Model Fits
zeeman

Measurements from Zeeman's Catastrophe Machine