Description Usage Arguments Details Value Author(s) References
Estimates a Bayesian analog to the the Alternating Least Squares Optimal Scaling (ALSOS) solution for qualitative dependent variables.
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formula |
A formula with a dependent variable that will be optimally scaled |
data |
A data frame. |
iter |
Number of samples for the MCMC sampler. |
chains |
Number of parallel chains to be run. |
alg |
Algorithm used to do sampling. See |
... |
Other arguments to be passed down to |
balsos
estimates a Bayesian analog to the Alternating Least Squares
Optimal Scaling solution on the dependent variable. This permits testing
linearity assumptions on the original scale of the dependent variable.
A list with the following elements:
fit |
The fitted stan output |
y |
The dependent variable values used in the regression. |
X |
The design matrix for the regression |
Dave Armstrong
Jacoby, William G. 1999. ‘Levels of Measurement and Political Research: An Optimistic View’ American Journal of Political Science 43(1): 271-301.
Young, Forrest. 1981. ‘Quantitative Analysis of Qualitative Data’ Psychometrika, 46: 357-388.
Young, Forrest, Jan de Leeuw and Yoshio Takane. 1976. ‘Regression with Qualitative and Quantitative Variables: An Alternating Least Squares Method with Optimal Scaling Features’ Psychometrika, 41:502-529.
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