Efficient and Doubly Robust Population Size Estimation

Documentation for package ‘drpop’ version 0.0.3

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