No packages match

cmdstanr - R Interface to 'CmdStan'

A lightweight interface to 'Stan' <https://mc-stan.org>. The 'CmdStanR' interface is an alternative to 'RStan' that calls the command line interface for compilation and running algorithms instead of interfacing with C++ via 'Rcpp'. This has many benefits including always being compatible with the latest version of Stan, fewer installation errors, fewer unexpected crashes in RStudio, and a more permissive license.

Last updated

bayesbayesianmarkov-chain-monte-carlomaximum-likelihoodmcmcstanvariational-inference

13.16 score 164 stars 10 dependents 10k scripts

stansum - Bayesian Models for Aggregated Relational Data and Network Scale-Up Method

Interface to various precompiled Stan models for Aggregated Relational Data that estimate, among other things, network degrees. Includes models by Zheng et al (2006) <doi:10.1198/016214505000001168>, Maltiel et al (2015) <doi:10.1214/15-AOAS827>, Baum & Marsden (2023) <doi:10.1016/j.socnet.2023.02.001>.

Last updated

3.30 score 4 scripts

NSUM - Network Scale Up Method

A Bayesian framework for population group size estimation using the Network Scale Up Method (NSUM). Size estimates are based on a random degree model and include options to adjust for barrier and transmission effects.

Last updated

2.48 score 8 scripts 11 downloads

networkscaleup - Network Scale-Up Models for Aggregated Relational Data

Provides a variety of Network Scale-up Models for researchers to analyze Aggregated Relational Data, mostly through the use of Stan. In this version, the package implements models from Laga, I., Bao, L., and Niu, X (2021) <arXiv:2109.10204>, Zheng, T., Salganik, M. J., and Gelman, A. (2006) <doi:10.1198/016214505000001168>, Killworth, P. D., Johnsen, E. C., McCarty, C., Shelley, G. A., and Bernard, H. R. (1998) <doi:10.1016/S0378-8733(96)00305-X>, and Killworth, P. D., McCarty, C., Bernard, H. R., Shelley, G. A., and Johnsen, E. C. (1998) <doi:10.1177/0193841X9802200205>.

Last updated

onetbbcpp

1.15 score 14 scripts 334 downloads