installing its API 'lpSolveAPI', which is
1.12.0), splines2 (>= 0.2.8), Matrix, knitr, rmarkdown, pander,

identified case, bounds are computed using either linear programming
or quadratically constrained quadratic programming. Support for
four solvers is provided. Gurobi and the Gurobi R API
and 'cplexAPI' are available from CRAN. MOSEK and the MOSEK R API can be
obtained from <https://www.mosek.com/>. The lp_solve library is freely
installing its API 'lpSolveAPI', which is available from CRAN.
future.apply (>= 1.6.0), future (>= 1.18.0), Matrix, knitr,
rmarkdown, pander, AER, lsei, ggplot2, gridExtra

Description: This package contains functions for carrying out instrumental variable estimation of causal effects and power analyses for instrumental variable studies.

Description: Fit the instrumental panel data models: the fixed effects, random

Title: Instrumental variables probit model
Description: ivprobit fit an Instrumental variables probit model using the

Title: Instrumental Variables Probit Model
Description: Compute the instrumental variables probit model using  the Amemiya's Generalized Least Squares estimators (Amemiya, Takeshi, (1978) <doi: 10.2307/1911443>).

Title: Two-Stage Least-Squares Regression with Diagnostics
Authors@R: c(person(given = "John", family = "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca", comment = c(ORCHID = "0000-0002-1196-8012")),
person(given = "Christian", family = "Kleiber", role = "aut", email = "Christian.Kleiber@unibas.ch", comment = c(ORCID = "0000-0002-6781-4733")),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766")))
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression. The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Imports: car (>= 3.0-9), Formula, lmtest, stats
Suggests: AER, effects (>= 4.2.0), knitr, insight, parallel, rmarkdown,