R: Efficient and Doubly Robust Population Size Estimation

# Efficient and Doubly Robust Population Size Estimation

## Documentation for package ‘drpop’ version 0.0.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

informat | A function to check whether a given data table/matrix/data frame is in the appropriate for drpop.
plotci | Plot estimated confidence interval of total population size from object of class 'popsize' or 'popsize_cond'.
popsize | Estimate total population size and capture probability using user provided set of models or user provided nuisance estimates.
popsize_cond | Estimate total population size and capture probability using user provided set of models conditioned on an attribute.
popsize_simul | Estimate the total population size and capture probabilities using perturbed true nuisance functions.
qhat_gam | Estimate marginal and joint distribution of lists j and k using generalized additive models.
qhat_logit | Estimate marginal and joint distribution of lists j and k using logistic regression.
qhat_mlogit | Estimate marginal and joint distribution of lists j and k using multinomial logistic model.
qhat_ranger | Estimate marginal and joint distribution of lists j and k using ranger.
qhat_rangerlogit | Estimate marginal and joint distribution of lists j and k using ensemble of ranger and logit.
qhat_sl | Estimate marginal and joint distribution of lists j and k using super learner.
reformat | A function to reorder the columns of a data table/matrix/data frame and to change factor variables to numeric.
simuldata | A function to reorder the columns of a data table/matrix/data frame and to change factor variables to numeric.
tmle | Returns the targeted maximum likelihood estimates for the nuisance functions