Counterfactuals and confidence intervals for estimated models

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Documentation for package ‘simcf’ version 0.2.10

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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