Package: spldv 0.1.4

Mauricio Sarrias

spldv: Spatial Models for Limited Dependent Variables

The current version of this package estimates spatial autoregressive models for binary dependent variables using GMM estimators <doi:10.18637/jss.v107.i08> and RIS estimator <doi:10.1007/978-3-662-05617-2_8>. It supports one-step (Pinkse and Slade, 1998) <doi:10.1016/S0304-4076(97)00097-3> and two-step GMM estimator along with the linearized GMM estimator proposed by Klier and McMillen (2008) <doi:10.1198/073500107000000188>. It also allows for either Probit or Logit model and compute the average marginal effects. The RIS estimator allows to estimate the SAR and SEM model. All these models are presented in Sarrias and Piras (2023) <doi:10.1016/j.jocm.2023.100432>.

Authors:Mauricio Sarrias [aut, cre], Gianfranco Piras [aut], Daniel McMillen [ctb]

spldv_0.1.4.tar.gz
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spldv.pdf |spldv.html✨
spldv/json (API)
NEWS

# Install 'spldv' in R:

install.packages('spldv', repos = c('https://gpiras.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gpiras/spldv/issues

On CRAN:

2.78 score 1 stars 1 packages 191 downloads 7 exports 91 dependencies

Last updated 6 months agofrom:b987115c1b. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 18 2024
R-4.5-win	OK	Nov 18 2024
R-4.5-linux	OK	Nov 18 2024
R-4.4-win	OK	Nov 18 2024
R-4.4-mac	OK	Nov 18 2024
R-4.3-win	OK	Nov 18 2024
R-4.3-mac	OK	Nov 18 2024

Exports:bread.binris estfun.binris impacts make.instruments sbinaryGMM sbinaryLGMM sbinaryRis

Dependencies:abind backports boot broom car carData class classInt cli coda codetools colorspace cowplot cpp11 data.table DBI deldir Deriv digest doBy dplyr e1071 fansi farver Formula generics ggplot2 glue gtable isoband jsonlite KernSmooth labeling lattice LearnBayes lifecycle lme4 magrittr MASS Matrix MatrixModels maxLik memisc mgcv microbenchmark minqa miscTools modelr multcomp munsell mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig proxy purrr quantreg R6 RColorBrewer Rcpp RcppEigen rlang s2 sandwich scales sf sp SparseM spatialreg spData spdep sphet stringi stringr survival TH.data tibble tidyr tidyselect units utf8 vctrs viridisLite withr wk yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Get Model Summaries for use with "mtable" for objects of class bingmm	getSummary.bingmm
Get Model Summaries for use with "mtable" for objects of class binlgmm	getSummary.binlgmm
Get Model Summaries for use with "mtable" for objects of class binris	getSummary.binris
Estimation of the average marginal effects for SARB models.	impacts impacts.bingmm impacts.binlgmm impacts.binris print.impacts.bingmm print.summary.impacts.bingmm summary.impacts.bingmm
Make instruments for spatial models	make.instruments
Estimation of SAR for binary dependent models using GMM	coef.bingmm print.bingmm print.summary.bingmm sbinaryGMM summary.bingmm vcov.bingmm
Estimation of SAR for binary models using Linearized GMM.	coef.binlgmm print.binlgmm print.summary.binlgmm sbinaryLGMM summary.binlgmm vcov.binlgmm
Estimation of spatial probit model for binary outcomes using RIS (GHK) simulator	bread.binris coef.binris df.residual.binris estfun.binris logLik.binris print.binris print.summary.binris sbinaryRis summary.binris terms.binris vcov.binris