Man pages for nonprobsvy
Inference Based on Non-Probability Samples
| admin | Admin data (non-probability survey) |
| check_balance | Checks the variable balance between the probability and... |
| coef.nonprob | Returns coefficients of the underlying models |
| confint.nonprob | Returns confidence intervals for estimated mean |
| control_inf | Control parameters for inference |
| control_out | Control parameters for outcome model |
| control_sel | Control parameters for the selection model |
| extract | Extracts estimates from the nonprob class object |
| jvs | Job vacancy survey |
| method_glm | Mass imputation using the generalized linear model method |
| method_nn | Mass imputation using nearest neighbours matching method |
| method_npar | Mass imputation using non-parametric model method |
| method_pmm | Mass imputation using predictive mean matching method |
| method_ps | Propensity Score Model Functions |
| nobs.nonprob | Returns the number of rows in samples |
| nonprob | Inference with non-probability survey samples |
| plot.nonprob | Plots the estimated mean(s) and their confidence interval(s) |
| pop_size | Returns population size (estimated or fixed) |
| print.nonprob_summary | Print method for the nonprob_summary object |
| summary.nonprob | Summary statistics for model of the nonprob class |
| update.nonprob | The update method for the nonprob object with changed... |
| weights.nonprob | Extracts the inverse probability weights |
