Showing 5 of total 5 results (show query)
easystats
bayestestR:Understand and Describe Bayesian Models and Posterior Distributions
Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Maintained by Dominique Makowski. Last updated 8 days ago.
bayes-factorsbayesfactorbayesianbayesian-frameworkcredible-intervaleasystatshacktoberfesthdimapposterior-distributionsrope
579 stars 16.87 score 2.2k scripts 83 dependents
winvector
wrapr:Wrap R Tools for Debugging and Parametric Programming
Tools for writing and debugging R code. Provides: '%.>%' dot-pipe (an 'S3' configurable pipe), unpack/to (R style multiple assignment/return), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools::strmacro()' and 'base::bquote()'), and more.
Maintained by John Mount. Last updated 2 years ago.
137 stars 11.11 score 390 scripts 12 dependents
hzambran
hydroTSM:Time Series Management and Analysis for Hydrological Modelling
S3 functions for management, analysis, interpolation and plotting of time series used in hydrology and related environmental sciences. In particular, this package is highly oriented to hydrological modelling tasks. The focus of this package has been put in providing a collection of tools useful for the daily work of hydrologists (although an effort was made to optimise each function as much as possible, functionality has had priority over speed). Bugs / comments / questions / collaboration of any kind are very welcomed, and in particular, datasets that can be included in this package for academic purposes.
Maintained by Mauricio Zambrano-Bigiarini. Last updated 2 months ago.
hydrologyhydrology-modelinghydrology-statisticalresourcewater-resources
45 stars 10.14 score 340 scripts 10 dependents
cmilando
WhiteLabRt:Novel Methods for Reproduction Number Estimation, Back-Calculation, and Forecasting
A collection of functions related to novel methods for estimating R(t), created by the lab of Professor Laura White. Currently implemented methods include two-step Bayesian back-calculation and now-casting for line-list data with missing reporting delays, adapted in 'STAN' from Li (2021) <doi:10.1371/journal.pcbi.1009210>, and calculation of time-varying reproduction number assuming a flux between various adjacent states, adapted into 'STAN' from Zhou (2021) <doi:10.1371/journal.pcbi.1010434>.
Maintained by Chad Milando. Last updated 12 days ago.
6 stars 5.48 score 4 scriptscmilando
linelistBayes:Bayesian Analysis of Epidemic Data Using Line List and Case Count Approaches
Provides tools for performing Bayesian inference on epidemiological data to estimate the time-varying reproductive number and other related metrics. These methods were published in Li and White (2021) <doi:10.1371/journal.pcbi.1009210>. This package supports analyses based on aggregated case count data and individual line list data, facilitating enhanced surveillance and intervention planning for infectious diseases like COVID-19.
Maintained by Chad Milando. Last updated 11 months ago.
4 stars 5.00 score 2 scripts