MLE_stage2_mle: Stage 2: solve likelihood directly
In adzemski/netprobitFE: Network probit with fixed effects
Description
Usage
Arguments
Value
View source: R/ML_estimation.R
Description
Stage 2: solve likelihood directly
Usage
1
MLE_stage2_mle(wide, bound_lower, bound_upper, rho_start = 0)
Arguments
wide
network data in upper-triangular wide format
bound_lower
lower bound on rho
bound_upper
upper bound on rho
rho_start
starting value (default = 0)
Value
fitted model
adzemski/netprobitFE documentation built on May 17, 2019, 11:40 a.m.
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.
Description Usage Arguments Value
View source: R/ML_estimation.R
Description
Stage 2: solve likelihood directly
Usage
1 | MLE_stage2_mle(wide, bound_lower, bound_upper, rho_start = 0)
|
Arguments
wide |
network data in upper-triangular wide format |
bound_lower |
lower bound on rho |
bound_upper |
upper bound on rho |
rho_start |
starting value (default = 0) |
Value
fitted model
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.