Showing 6 of total 6 results (show query)
laplacesdemonr
LaplacesDemon:Complete Environment for Bayesian Inference
Provides a complete environment for Bayesian inference using a variety of different samplers (see ?LaplacesDemon for an overview).
Maintained by Henrik Singmann. Last updated 1 years ago.
93 stars 13.45 score 1.8k scripts 60 dependents
richardli
SUMMER:Small-Area-Estimation Unit/Area Models and Methods for Estimation in R
Provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>, Li et al. (2019) <doi:10.1371/journal.pone.0210645>, Wu et al. (DHS Spatial Analysis Reports No. 21, 2021), and Li et al. (2023) <doi:10.48550/arXiv.2007.05117>.
Maintained by Zehang R Li. Last updated 3 months ago.
bayesian-inferencesmall-area-estimationspace-time
23 stars 10.28 score 134 scripts 2 dependents
cran
sn:The Skew-Normal and Related Distributions Such as the Skew-t and the SUN
Build and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t and the SUN families. For the skew-normal and the skew-t distributions, statistical methods are provided for data fitting and model diagnostics, in the univariate and the multivariate case.
Maintained by Adelchi Azzalini. Last updated 2 years ago.
3 stars 7.37 score 91 dependents
svmiller
stevemisc:Steve's Miscellaneous Functions
These are miscellaneous functions that I find useful for my research and teaching. The contents include themes for plots, functions for simulating quantities of interest from regression models, functions for simulating various forms of fake data for instructional/research purposes, and many more. All told, the functions provided here are broadly useful for data organization, data presentation, data recoding, and data simulation.
Maintained by Steve Miller. Last updated 22 days ago.
dplyrmixed-effects-modelsmultivariate-normal-distributiontidyverse
10 stars 6.85 score 392 scripts 2 dependents
bioc
doppelgangR:Identify likely duplicate samples from genomic or meta-data
The main function is doppelgangR(), which takes as minimal input a list of ExpressionSet object, and searches all list pairs for duplicated samples. The search is based on the genomic data (exprs(eset)), phenotype/clinical data (pData(eset)), and "smoking guns" - supposedly unique identifiers found in pData(eset).
Maintained by Levi Waldron. Last updated 5 months ago.
immunooncologyrnaseqmicroarraygeneexpressionqualitycontrolbioconductor-package
5 stars 6.67 score 31 scripts
ajmcneil
tscopula:Time Series Copula Models
Functions for the analysis of time series using copula models. The package is based on methodology described in the following references. McNeil, A.J. (2021) <doi:10.3390/risks9010014>, Bladt, M., & McNeil, A.J. (2021) <doi:10.1016/j.ecosta.2021.07.004>, Bladt, M., & McNeil, A.J. (2022) <doi:10.1515/demo-2022-0105>.
Maintained by Alexander McNeil. Last updated 1 months ago.
2 stars 5.53 score 12 scripts