Changes in version 1.0.1

The new version follows the major revision of the paper in April 2022

• The count data model has changed. It is now possible to have several gamma parameters instead of gamma = 1 as assumed in the previous version.
• In the count data model identification, sigma is now set to 1, because there are several gamma’s.
• The network formation model now includes two unobserved effects instead of one.

Some function name has changed

• SARML has been replaced by sar.
• SARTML has been replaced by sart.
• CDnetNPL has been replaced by cdnet.
• simSARnet has been replaced by simsar.
• simTobitnet has been replaced by simsart.
• simCDnet has been replaced by simcdnet.
• netformation has been replaced by homophily.

SART model under rational expectations

It is now possible to estimate the SART model under rational expectations. In the previous version, the SART model is only available under complete information.

Changes in version 2.0.1

This version follows the major revision of the paper in September 2022. - The count data model includes a more flexible specification. Especially, it is possible to assume that the cut points are not equally spaced for large values of the dependent variable. - I also implement a network formation model with degree heterogeneity as fixed effects (see Yan et al., 2019). - Models under incomplete information are now estimated using LBFGS algorithm of the package RcppNumerical. Thus, the optimization is performed in C++ and is very fast compared to the version 1.0.1.

Changes in versions 2.0.2 and 2.0.3

Note and Warning found in the check for MACOS have been fixed