Package: drpop 0.0.3

drpop: Efficient and Doubly Robust Population Size Estimation

Estimation of the total population size from capture-recapture data efficiently and with low bias implementing the methods from Das M, Kennedy EH, and Jewell NP (2021) <arxiv:2104.14091>. The estimator is doubly robust against errors in the estimation of the intermediate nuisance parameters. Users can choose from the flexible estimation models provided in the package, or use any other preferred model.

Authors:Manjari Das [aut, cre], Edward H. Kennedy [aut]

drpop_0.0.3.tar.gz


drpop_0.0.3.tar.gz(r-4.5-noble)drpop_0.0.3.tar.gz(r-4.4-noble)
drpop_0.0.3.tgz(r-4.4-emscripten)drpop_0.0.3.tgz(r-4.3-emscripten)
drpop.pdf |drpop.html✨
drpop/json (API)
NEWS

# Install 'drpop' in R:
install.packages('drpop', repos = c('https://mqnjqrid.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mqnjqrid/drpop/issues

On CRAN:

3.40 score 5 stars 2 scripts 169 downloads 14 exports 61 dependencies

Last updated 2 years agofrom:46b5b9f141. Checks:OK: 1 FAILURE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-linuxFAILURENov 08 2024

Exports:informatplotcipopsizepopsize_condpopsize_simulqhat_gamqhat_logitqhat_mlogitqhat_rangerqhat_rangerlogitqhat_slreformatsimuldatatmle

Dependencies:bitopscaToolsclicodetoolscolorspacecpp11cvAUCdata.tabledplyrfansifarverforeachgamgenericsggplot2gluegplotsgtablegtoolshmsisobanditeratorsjanitorKernSmoothlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmennetnnlspillarpkgconfigplyrpurrrR6rangerRColorBrewerRcppRcppEigenreshape2rlangROCRscalessnakecasestringistringrSuperLearnertibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

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