Panel Sample Selection Models

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Documentation for package ‘PanelSelect’ version 2.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation

Help Pages

PanelSelect-package	PanelSelect: panel sample-selection models
add_information	Compute and store observed information for a fitted model
AIC.panelselect	Inspect likelihood, sample size and information criteria
BIC.panelselect	Inspect likelihood, sample size and information criteria
check_quadrature	Check integration sensitivity at the fitted estimates
check_stationarity	Inspect score and curvature diagnostics without refitting
coef.panelselect	Extract coefficients, covariance matrices and confidence intervals
confint.panelselect	Extract coefficients, covariance matrices and confidence intervals
fitted.panelselect	Predict outcome means and selection probabilities
formula.panelselect	Recover fitted formulas, designs and omitted rows
logLik.panelselect	Inspect likelihood, sample size and information criteria
model.frame.panelselect	Recover fitted formulas, designs and omitted rows
model.matrix.panelselect	Recover fitted formulas, designs and omitted rows
na.action.panelselect	Recover fitted formulas, designs and omitted rows
nobs.panelselect	Inspect likelihood, sample size and information criteria
PanelSelect	PanelSelect: panel sample-selection models
panelselect-comparison	Inspect likelihood, sample size and information criteria
panelselect-design	Recover fitted formulas, designs and omitted rows
panelselect-inference	Extract coefficients, covariance matrices and confidence intervals
panelselect-methods	Work with fitted PanelSelect models
panel_control	Control numerical integration and optimization
panel_select	Fit panel and cross-sectional sample-selection models
predict.panelselect	Predict outcome means and selection probabilities
print.panelselect	Summarize and print a fitted model
print.panelselect_control	Control numerical integration and optimization
print.panelselect_quadrature_check	Check integration sensitivity at the fitted estimates
print.summary.panelselect	Summarize and print a fitted model
random_effects	Summarize person effects conditional on observed history
residuals.panelselect	Calculate response residuals for observed outcomes
summary.panelselect	Summarize and print a fitted model
terms.panelselect	Recover fitted formulas, designs and omitted rows
update.panelselect	Refit a model with changed formulas, data or settings
vcov.panelselect	Extract coefficients, covariance matrices and confidence intervals