cmc_ologit: Calculates the probability of an ordered logit model
In cmcRcode: Tools for estimating Discrete Choice models
Description
Usage
Arguments
Value
Description
Calculates the probability of an ordered logit model
Usage
1
cmc_ologit(Y, X, lambda, tau)
Arguments
Y
vector of dependent variables
X
vector of a single explanatory variable (usually a latent variable)
lambda
Scalar parameter. Multiplies X in the utility of the ordered logit
tau
Vector of parameters. Thresholds.
Value
A vector of probabilities, one for each element of Y.
cmcRcode documentation built on May 2, 2019, 4:50 p.m.
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Description Usage Arguments Value
Description
Calculates the probability of an ordered logit model
Usage
1 | cmc_ologit(Y, X, lambda, tau)
|
Arguments
Y |
vector of dependent variables |
X |
vector of a single explanatory variable (usually a latent variable) |
lambda |
Scalar parameter. Multiplies X in the utility of the ordered logit |
tau |
Vector of parameters. Thresholds. |
Value
A vector of probabilities, one for each element of Y.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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