All functions
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AIC()
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Model criterion function |
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AIC(<lmcd>)
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Schwarz Information Criterion - lmcd class |
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AIC(<regcd>)
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Schwarz Information Criterion |
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BIC()
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Model criterion function |
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BIC(<lmcd>)
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Schwarz Information Criterion - lmcd class |
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BIC(<regcd>)
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Schwarz Information Criterion |
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HQIC()
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Model criterion function |
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HQIC(<lmcd>)
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Schwarz Information Criterion - lmcd class |
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HQIC(<regcd>)
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Schwarz Information Criterion |
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c_crit()
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Concrete class constructor |
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c_out_dep()
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Object class constructor |
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crit()
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Model criterion function |
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crit(<lmcd>)
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Implemention - linear regression |
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crit(<logitcd>)
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Implemention - logit model |
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crit(<nbcd>)
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Implemention - negative binomial model |
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crit(<poiscd>)
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Implemention - poisson model |
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crit(<probitcd>)
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Implemention - probit model |
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crit_obs()
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Model criterion function |
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crit_obs(<lmcd>)
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Implemention - linear regression model |
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crit_obs(<logitcd>)
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Implemention - logit model |
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crit_obs(<nbcd>)
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Implemention - negative binomial model |
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crit_obs(<poiscd>)
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Implemention - poisson model |
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crit_obs(<probitcd>)
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Implemention - probit model |
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gdat_cd()
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Generate Data |
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inter_xij()
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Binary Interaction |
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ncd_gen()
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Cross-sectional dependence in models |
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out_dep()
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Randomly generate outcome Y |
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out_dep(<lmcd>)
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Implemention - linear regression model |
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out_dep(<logitcd>)
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Implemention - logit model |
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out_dep(<nbcd>)
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Implemention - negative binomial model |
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out_dep(<poiscd>)
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Implemention - poisson model |
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out_dep(<probitcd>)
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Implemention - probit model |
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polyexp()
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Bivariate Polynomial Approximation |
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polyexp_mul()
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Multivariate Polynomial Approximation |
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reg_cd()
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Cross-sectional dependence in regression |
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reg_cdir()
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Cross-sectional dependence in regression |
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regir()
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Model criterion function |
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regir(<lmcd>)
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Regression - lmcd class |
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regir(<logitcd>)
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Regression - logitcd class |
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regir(<nbcd>)
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Regression - nbcd class |
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regir(<poiscd>)
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Regression - poiscd class |
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regir(<probitcd>)
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Regression - probitcd class |
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regir(<qreg>)
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Regression - qreg class |
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swvcovHR()
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Huber-White Sandwich Estimator |