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Working with Sets the Tidy Way
Implements a class and methods to work with sets, doing intersection, union, complementary sets, power sets, cartesian product and other set operations in a "tidy" way. These set operations are available for both classical sets and fuzzy sets. Import sets from several formats or from other several data structures.
Mark-Recapture Analysis
Accomplishes mark-recapture analysis with covariates. Models available include the Cormack-Jolly-Seber open population (Cormack (1972)
Minimal Type Guesser
Port the type guesser from 'readr' (so-called 'readr' first edition parsing engine, now superseded by 'vroom').
Estimates and Plots Single-Level and Multilevel Latent Class Models
Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications. For more technical details, see Lyrvall et al (2023)
'Rcpp' Bindings for 'Redis' using the 'hiredis' Library
Connection to the 'Redis' key/value store using the C-language client library 'hiredis' (included as a fallback) with 'MsgPack' encoding provided via 'RcppMsgPack' headers. It now also includes the pub/sub functions from the 'rredis' package.
Reproducible Data Retrieval from the Roper Center Data Archive
Reproducible, programmatic retrieval of datasets from the Roper Center data archive. The Roper Center for Public Opinion Research < https://ropercenter.cornell.edu> maintains the largest archive of public opinion data in existence, but researchers using these datasets are caught in a bind. The Center's terms and conditions bar redistribution of downloaded datasets, but to ensure that one's work can be reproduced, assessed, and built upon by others, one must provide access to the raw data one employed. The `ropercenter` package cuts this knot by providing registered users with programmatic, reproducible access to Roper Center datasets from within R.
A Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters
Estimation of epidemiological parameters with
Laplacian-P-splines following the methodology of Gressani et al. (2022)
Allocate Samples Among Strata
Functions for the design process of survey sampling, with specific tools for multi-wave and multi-phase designs. Perform optimum allocation using Neyman (1934)
Person-Centered Analysis
Provides an easy-to-use yet adaptable set of tools to conduct person-center analysis using a two-step clustering procedure. As described in Bergman and El-Khouri (1999)
Exploration and Graphics for RivEr Trends
Statistics and graphics for streamflow history, water quality trends, and the statistical modeling algorithm: Weighted Regressions on Time, Discharge, and Season (WRTDS).