Skip to contents

influ

Functions from the original influ R package.

influ-package influ
Influence in linear models
Influence
The influence prototype object.
Influence$new
Create a new Influence object.
Influence$init
Initialise the Influence object
Influence$calc
Perform necessary calculations
Influence$effects
Obtain the effects associated with a particular term in the model
Influence$stanPlot
Standardization plot
Influence$cdiPlot
A coefficient-distribution-influence (CDI) plot for a model term
Influence$influPlot
Influence plot
Influence$stepPlot
Step plot
Influence$cdiPlotAll
Plot a CDI plot for each of the terms in the model
Influence$stepAndInfluPlot
Step and influence plots
coeffs()
Obtain the coefficients associated with a particular term in the model
ses()
Obtain standard errors for the coefficients associated with a particular term in the model

influ2

Functions from the new influ2 R package.

influ2
Influence plots
get_bayes_R2()
Get Bayesian R2 for a list of models
get_coefs()
Get model coefficients
get_coefs_raw()
Get raw coefficients
get_index()
Get the standardised indices
get_influ()
Get the influence metric
get_influ2()
Get the influence metric
get_marginal()
Get model coefficients new version
get_unstandarsied()
Get the unstandardised indices
plot_bayesian_cdi()
Bayesian version of the CDI plot
plot_bayesian_cdi2()
Bayesian version of the CDI plot (depreciated)
plot_bubble()
Bubble plot
plot_compare()
Compare CPUE indices
plot_data_extent()
Data extent plot
plot_hurdle()
Plot the hurdle and positive components
plot_implied_residuals()
Plots predicted values versus residuals
plot_index()
Plot the standardised and unstandardised indices
plot_influ()
Plot the influence metric for all variables in a model
plot_predicted_residuals()
Plots predicted values versus residuals
plot_qq()
Bayesian version of the quantile-quantile plot
plot_step()
A Bayesian version of the step-plot
table_criterion()
Get table of various criterion
logit() logit()
Logit
inv_logit()
Inverse logit
logistic()
Logistic
id_var_type()
Identify the variable type
geo_mean()
Geometric mean

Data

Simulated data sets that are available.

lobsters_per_pot
Simulated CPUE data