24 lines
973 B
Plaintext
24 lines
973 B
Plaintext
Package: rcmle
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Title: Maximum Likelihood Estimation functions for discrete choice under risk.
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Version: 0.19.0
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Authors@R: person("Brian", "Monroe", email = "brian@bamonroe.com", role = c("aut", "cre"))
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Description: This package provides functions to estimate risk preferences provided by rcguts, and generic functions to do maximum likelihood estimation with the rc* format. These functions allow for parameters to easily be made into linear functions of observable covariates, clustering standard errors around a variable, and delta method functions to do non-linear wald tests. The last delta methods were added when nlWaldTest was found to be limiting in the funcitonal forms of the tests it allows.
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Depends:
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R (>= 3.3.1)
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License: MIT
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Additional_repositories: https://bamonroe.com/drat/
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Encoding: UTF-8
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LazyData: true
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LinkingTo:
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Imports:
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rcguts,
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dplyr,
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numDeriv,
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nlWaldTest,
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optimx,
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maxLik
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Suggests:
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nloptr,
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ctools
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RoxygenNote: 6.1.1
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