Counterfactuals and confidence intervals for estimated regression models

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Documentation for package ‘simcf’ version 0.2.20

• DESCRIPTION file.

Help Pages

cfChange	Create or modify a set of counterfactuals
cfFactorial	Create a set of counterfactuals using a factorial design
cfFactorial	Create a set of counterfactuals using a factorial design
cfMake	Create or modify a set of counterfactuals
cfName	Create or modify a set of counterfactuals
concord.glm	Prediction-based goodness of fit measures for categorical models
concord.oprobit	Prediction-based goodness of fit measures for categorical models
extractdata	Extract from a dataframe all variables used in a formula
glue	Paste without separators
hetnormsimpv	Simulate quantities of interest and predictive intervals for heteroskedastic linear models
influencePlot	Create an interactive plot of studentized residuals against hat-values
lagpanel	Lag a variable with panel structure
ldvsimev	Simulate quantities of interest and confidence intervals for linear time series models including ARIMA or lagged dependent variable processes
ldvsimfd	Simulate quantities of interest and confidence intervals for linear time series models including ARIMA or lagged dependent variable processes
ldvsimpd	Simulate quantities of interest and confidence intervals for linear time series models including ARIMA or lagged dependent variable processes
ldvsimpr	Simulate quantities of interest and confidence intervals for linear time series models including ARIMA or lagged dependent variable processes
ldvsimpv	Simulate quantities of interest and confidence intervals for linear time series models including ARIMA or lagged dependent variable processes
ldvsimrr	Simulate quantities of interest and confidence intervals for linear time series models including ARIMA or lagged dependent variable processes
linearsimev	Simulate quantities of interest and confidence intervals for linear models
linearsimfd	Simulate quantities of interest and confidence intervals for linear models
linearsimrr	Simulate quantities of interest and confidence intervals for linear models
logBound	Log transform a variable, creating a dummy variable to record out of bound cases
logitBound	Logit transform a variable, creating dummy variables to record out of bound cases
logitsimev	Simulate quantities of interest and confidence intervals for binary logit
logitsimfd	Simulate quantities of interest and confidence intervals for binary logit
logitsimrr	Simulate quantities of interest and confidence intervals for binary logit
loglinsimev	Simulate quantities of interest and confidence intervals for loglinear models
loglinsimfd	Simulate quantities of interest and confidence intervals for loglinear models
loglinsimrr	Simulate quantities of interest and confidence intervals for loglinear models
makeFEdummies	Create a matrix of dummy variables
mlogitsimev	Simulate quantities of interest and confidence intervals for multinomial logit
mlogitsimfd	Simulate quantities of interest and confidence intervals for multinomial logit
mlogitsimrr	Simulate quantities of interest and confidence intervals for multinomial logit
oprobitsimev	Simulate quantities of interest and confidence intervals for ordered probit
oprobitsimfd	Simulate quantities of interest and confidence intervals for ordered probit
oprobitsimrr	Simulate quantities of interest and confidence intervals for ordered probit
pcp.glm	Prediction-based goodness of fit measures for categorical models
pcp.oprobit	Prediction-based goodness of fit measures for categorical models
probitsimev	Simulate quantities of interest and confidence intervals for binary probit
probitsimfd	Simulate quantities of interest and confidence intervals for binary probit
probitsimrr	Simulate quantities of interest and confidence intervals for binary probit
rpcf	Ratio-preserving counterfactuals