Encoding DataFunctions for encoding data prior to model estimation. |
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Returns a list of the design matrix |
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Estimating ModelsFunctions for estimating multinomial logit models with preference space and WTP space utility parameterizations. |
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The main function for estimating logit models |
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Viewing ResultsFunctions for viewing the results of estimated models. |
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Methods for logitr objects |
Extract standard errors |
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Extract standard errors |
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Calculate the variance-covariance matrix |
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Extract Model Fitted Values |
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Extract Model Residuals |
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View a description the nloptr status codes |
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Computing and Comparing WTPFunctions for computing and comparing WTP from estimated models. |
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Get WTP estimates a preference space model |
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Get WTP estimates a preference space model |
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Compare WTP from preference and WTP space models |
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Predicting Probabilities & OutcomesFunctions for predicting probabilities and outcomes. |
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Predict probabilities and / or outcomes |
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Tidy / Broom MethodsMethods for tidying up results from estimate models. |
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Glance a |
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Extract Model Confidence Interval |
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Glance a |
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Extracting the Model Frame from a Formula or Fit |
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Construct Design Matrices |
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Tidy a |
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Example Data SetsDescriptions of data included with this package |
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Choice observations of yogurt purchases by 100 households |
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Stated car choice observations by US car buyers |
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Stated car choice observations by Chinese car buyers |
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Simulated SP dataset of mode choice (from the apollo package). |
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Stated preference data for the choice of electricity suppliers (from mlogit package) |
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Data frame of run times for logitr benchmark |
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Other HelpersOther helper functions. |
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Predict probabilities and / or outcomes |
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Obtain a confidence interval from coefficient draws |
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Compute logit fraction for sets of alternatives given coefficient draws |