Microeconometrics with R
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Documentation for package ‘micsr’ version 0.1-1
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A B C D E F G H I L M N O P R S T V Z
| micsr-package | *micsr* : Microeconometrics with R |
-- A --
| AIC.micsr | 'micsr' class |
| apples | Apple production |
-- B --
| BIC.micsr | 'micsr' class |
| binmeans | Compute the mean of a variable for bins of another variable |
| binmeans.default | Compute the mean of a variable for bins of another variable |
| binmeans.formula | Compute the mean of a variable for bins of another variable |
| binomreg | Binomial regression |
| birthwt | Cigarette smoking and birth weight |
| bivprobit | Bivariate probit |
| bread.micsr | 'micsr' class |
-- C --
| charitable | Intergenerational transmission of charitable giving |
| cigmales | Cigarette smoking behaviour |
| clm | Constrained least squares |
| cmtest | Conditional moments test |
| cmtest.censReg | Conditional moments test |
| cmtest.glm | Conditional moments test |
| cmtest.micsr | Conditional moments test |
| cmtest.tobit | Conditional moments test |
| coef.micsr | 'micsr' class |
| coef.summary.micsr | 'micsr' class |
-- D --
| deviance.micsr | 'micsr' class |
| drinks | Physician advice on alcohol consumption |
| dummy | Transform a factor in a set of dummy variables |
-- E --
| endogtest | Instrumental variable estimators for limited dependent variable |
| endogtest.formula | Instrumental variable estimators for limited dependent variable |
| endogtest.ivldv | Instrumental variable estimators for limited dependent variable |
| escount | Endogenous switching and sample selection models for count data |
| estfun.micsr | 'micsr' class |
| expreg | Instrumental variable estimation for exponential conditional mean models |
-- F --
| federiv | Foreign exchange derivatives use by large US bank holding companies |
| fin_reform | Political economy of financial reforms |
| ftest | F statistic |
| ftest.ivreg | F statistic |
| ftest.lm | F statistic |
-- G --
| gaze | Short print of the summary of an object |
| gaze.anova | Short print of the summary of an object |
| gaze.CJMrddensity | Short print of the summary of an object |
| gaze.htest | Short print of the summary of an object |
| gaze.ivreg | Short print of the summary of an object |
| gaze.lm | Short print of the summary of an object |
| gaze.LMtestlist | Short print of the summary of an object |
| gaze.micsr | Short print of the summary of an object |
| gaze.rdrobust | Short print of the summary of an object |
| geom_binmeans | Compute the mean of a variable for bins of another variable |
| glance.binomreg | Binomial regression |
| glance.micsr | 'micsr' class |
-- H --
| hausman | Hausman test |
| hausman.ivreg | Hausman test |
| hausman.micsr | Hausman test |
| housprod | Household Production |
-- I --
| ivldv | Instrumental variable estimators for limited dependent variable |
-- L --
| llobs | 'micsr' class |
| llobs.micsr | 'micsr' class |
| llobs.mlogit | 'micsr' class |
| logLik.bivprobit | Bivariate probit |
| logLik.micsr | 'micsr' class |
| loglm | Log-linear model |
-- M --
| mean.pscore | Propensity scores |
| mean.summary.pscore | Propensity scores |
| micsr | 'micsr' class |
| mills | Compute the inverse Mills ratio and its first two derivatives |
| model.matrix.micsr | 'micsr' class |
| model.part.micsr | 'micsr' class |
| mode_choice | Choice between car and transit |
-- N --
| ndvuong | Non-degenerate Vuong test |
| newton | Newton-Raphson method for numerical optimization |
| nobs.micsr | 'micsr' class |
| nobs.pscore | Propensity scores |
| nobs.summary.pscore | Propensity scores |
| npar | Number of parameters of a fitted model |
| npar.default | Number of parameters of a fitted model |
| npar.micsr | Number of parameters of a fitted model |
-- O --
| ordreg | Ordered regression |
-- P --
| poisreg | Poisson regression |
| predict.binomreg | Binomial regression |
| predict.micsr | 'micsr' class |
| print.micsr | 'micsr' class |
| print.pscore | Propensity scores |
| print.summary.micsr | 'micsr' class |
| print.summary.pscore | Propensity scores |
| pscore | Propensity scores |
-- R --
| residuals.binomreg | Binomial regression |
| rg | Propensity scores |
| rg.pscore | Propensity scores |
| rg.summary.pscore | Propensity scores |
| rsq | Coefficient of determination |
| rsq.lm | Coefficient of determination |
| rsq.micsr | Coefficient of determination |
-- S --
| sargan | Sargan test for GMM models |
| sargan.ivreg | Sargan test for GMM models |
| sargan.micsr | Sargan test for GMM models |
| scoretest | Score test |
| scoretest.micsr | Score test |
| StatBinmeans | Compute the mean of a variable for bins of another variable |
| stder | Extract the standard errors of estimated coefficients |
| stder.default | Extract the standard errors of estimated coefficients |
| stdev | Propensity scores |
| stdev.pscore | Propensity scores |
| stdev.summary.pscore | Propensity scores |
| summary.clm | Constrained least squares |
| summary.micsr | 'micsr' class |
| summary.pscore | Propensity scores |
-- T --
| tidy.micsr | 'micsr' class |
| tobit1 | Truncated response model |
| trade_protection | Lobying from Capitalists and Unions and Trade Protection |
| trips | Determinants of household trip taking |
| turnout | Turnout |
| twa | Temporary help jobs and permanent employment |
-- V --
| vcov.clm | Constrained least squares |
| vcov.micsr | 'micsr' class |
| vcovHC.micsr | 'micsr' class |
| vuong_sim | Simulated pdfs for the Vuong statistics using linear models |
-- Z --
| zellner_revankar | Generalized production function |