mlogit - Multinomial Logit Models
Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.
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11.70 score 10 stars 12 dependents 1.5k scripts 21k downloadstruncreg - Truncated Gaussian Regression Models
Estimation of models for truncated Gaussian variables by maximum likelihood.
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5.74 score 6 dependents 62 scripts 8.1k downloadspglm - Panel Generalized Linear Models
Estimation of panel models for glm-like models: this includes binomial models (logit and probit), count models (poisson and negbin) and ordered models (logit and probit), as described in: Baltagi (2013) Econometric Analysis of Panel Data <doi:10.1007/978-3-030-53953-5> Hsiao (2014) Analysis of Panel Data <doi:10.1017/CBO9781139839327> and Croissant and Millo (2018), Panel Data Econometrics with R <doi:10.1002/9781119504641>.
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5.00 score 1 dependents 217 scripts 5.1k downloadsmhurdle - Multiple Hurdle Tobit Models
Estimation of models with dependent variable left-censored at zero. Null values may be caused by a selection process Cragg (1971) <doi:10.2307/1909582>, insufficient resources Tobin (1958) <doi:10.2307/1907382>, or infrequency of purchase Deaton and Irish (1984) <doi:10.1016/0047-2727(84)90067-7>.
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4.65 score 16 scripts 5.5k downloadstidydfidx - Indexed 'tibble' and Methods for 'dplyr'
Provides extended data frames, with a special data frame column which contains two indexes, with potentially a nesting structure, and support for tibbles and methods for 'dplyr'.
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quarto
4.18 score 1 stars 2 scripts 186 downloadsdescstat - Tools for Descriptive Statistics
A toolbox for descriptive statistics, based on the computation of frequency and contingency tables. Several statistical functions and plot methods are provided to describe univariate or bivariate distributions of factors, integer series and numerical series either provided as individual values or as bins.
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3.00 score 2 stars 2 scripts 258 downloadscmtest - Conditional Moments Test
Conditional moments test, as proposed by Newey (1985) <doi:10.2307/1911011 > and Tauchen (1985) <doi:10.1016/0304-4076(85)90149-6>, useful to detect specification violations for models estimated by maximum likelihood. Methods for probit and tobit models are provided.
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2.00 score 263 downloadspder - Panel Data Econometrics with R
Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.
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1.92 score 18 scripts 4.6k downloads