condl_log_lik_FE_logit: Evaluates the conditional log likelihood function of the...
In cgaillac/MarginalFElogit: Estimation of Average Marginal Effects in Fixed Effect Logit Models
View source: R/condl_log_lik_FE_logit.R
condl_log_lik_FE_logit R Documentation
Evaluates the conditional log likelihood function of the panel data logit
at beta
Description
If Y or X contain NA for some individuals at some periods, these
individual-period pairs are discarded.
Usage
condl_log_lik_FE_logit(beta, Y, X)
Arguments
beta
the value at which the loss is computed
Y
a matrix of size n x Tmax containing the values of the dependent
variable Y
X
an array of size n x Tmax x dimX containing the values of the
covariates Xs
Value
the value of the conditional log likelihood function at beta
cgaillac/MarginalFElogit documentation built on Dec. 24, 2024, 3:23 p.m.
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View source: R/condl_log_lik_FE_logit.R
| condl_log_lik_FE_logit | R Documentation |
Evaluates the conditional log likelihood function of the panel data logit at beta
Description
If Y or X contain NA for some individuals at some periods, these individual-period pairs are discarded.
Usage
condl_log_lik_FE_logit(beta, Y, X)
Arguments
beta |
the value at which the loss is computed |
Y |
a matrix of size n x Tmax containing the values of the dependent variable Y |
X |
an array of size n x Tmax x dimX containing the values of the covariates Xs |
Value
the value of the conditional log likelihood function at beta
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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