Showing 18 of total 18 results (show query)
paul-buerkner
brms:Bayesian Regression Models using 'Stan'
Fit Bayesian generalized (non-)linear multivariate multilevel models using 'Stan' for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include both theory-driven and data-driven non-linear terms, auto-correlation structures, censoring and truncation, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their prior knowledge. Models can easily be evaluated and compared using several methods assessing posterior or prior predictions. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>; Bürkner (2018) <doi:10.32614/RJ-2018-017>; Bürkner (2021) <doi:10.18637/jss.v100.i05>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Maintained by Paul-Christian Bürkner. Last updated 4 days ago.
bayesian-inferencebrmsmultilevel-modelsstanstatistical-models
1.3k stars 16.64 score 13k scripts 35 dependents
ouhscbbmc
REDCapR:Interaction Between R and REDCap
Encapsulates functions to streamline calls from R to the REDCap API. REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The Application Programming Interface (API) offers an avenue to access and modify data programmatically, improving the capacity for literate and reproducible programming.
Maintained by Will Beasley. Last updated 3 months ago.
118 stars 12.36 score 438 scripts 6 dependents
jaredlander
useful:A Collection of Handy, Useful Functions
A set of little functions that have been found useful to do little odds and ends such as plotting the results of K-means clustering, substituting special text characters, viewing parts of a data.frame, constructing formulas from text and building design and response matrices.
Maintained by Jared P. Lander. Last updated 1 years ago.
8 stars 7.75 score 748 scripts 6 dependents
robinhankin
freealg:The Free Algebra
The free algebra in R with non-commuting indeterminates. Uses 'disordR' discipline (Hankin, 2022, <doi:10.48550/ARXIV.2210.03856>). To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2211.04002>.
Maintained by Robin K. S. Hankin. Last updated 19 days ago.
3 stars 7.07 score 10 dependentsrobinhankin
mvp:Fast Symbolic Multivariate Polynomials
Fast manipulation of symbolic multivariate polynomials using the 'Map' class of the Standard Template Library. The package uses print and coercion methods from the 'mpoly' package but offers speed improvements. It is comparable in speed to the 'spray' package for sparse arrays, but retains the symbolic benefits of 'mpoly'. To cite the package in publications, use Hankin 2022 <doi:10.48550/ARXIV.2210.15991>. Uses 'disordR' discipline.
Maintained by Robin K. S. Hankin. Last updated 17 days ago.
9 stars 6.83 score 36 scripts 2 dependentsrobinhankin
spray:Sparse Arrays and Multivariate Polynomials
Sparse arrays interpreted as multivariate polynomials. Uses 'disordR' discipline (Hankin, 2022, <doi:10.48550/ARXIV.2210.03856>). To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.10848>.
Maintained by Robin K. S. Hankin. Last updated 12 hours ago.
2 stars 6.62 score 35 scripts 4 dependents
greta-dev
greta.gp:Gaussian Process Modelling in 'greta'
Provides a syntax to create and combine Gaussian process kernels in 'greta'. You can then them to define either full rank or sparse Gaussian processes. This is an extension to the 'greta' software, Golding (2019) <doi:10.21105/joss.01601>.
Maintained by Nicholas Tierney. Last updated 3 months ago.
19 stars 6.33 score 28 scripts
thinhong
denim:Generate and Simulate Deterministic Discrete-Time Compartmental Models
R package to build and simulate deterministic discrete-time compartmental models that can be non-Markov. Length of stay in each compartment can be defined to follow a parametric distribution (d_exponential(), d_gamma(), d_weibull(), d_lognormal()) or a non-parametric distribution (nonparametric()). Other supported types of transition from one compartment to another includes fixed transition (constant()), multinomial (multinomial()), fixed transition probability (transprob()).
Maintained by Anh Phan. Last updated 13 days ago.
2 stars 5.86 score 8 scripts
cneyens
raem:Analytic Element Modeling of Steady Single-Layer Groundwater Flow
A model of single-layer groundwater flow in steady-state under the Dupuit-Forchheimer assumption can be created by placing elements such as wells, area-sinks and line-sinks at arbitrary locations in the flow field. Output variables include hydraulic head and the discharge vector. Particle traces can be computed numerically in three dimensions. The underlying theory is described in Haitjema (1995) <doi:10.1016/B978-0-12-316550-3.X5000-4> and references therein.
Maintained by Cas Neyens. Last updated 7 months ago.
analytic-element-modelgroundwatergroundwater-modellinghydrogeologyhydrology
8 stars 5.68 score 6 scriptsrobinhankin
weyl:The Weyl Algebra
A suite of routines for Weyl algebras. Notation follows Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic D-Modules"). Uses 'disordR' discipline (Hankin 2022 <doi:10.48550/arXiv.2210.03856>). To cite the package in publications, use Hankin 2022 <doi:10.48550/arXiv.2212.09230>.
Maintained by Robin K. S. Hankin. Last updated 2 months ago.
3 stars 5.59 score 4 scripts
pacificcommunity
AMPLE:Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. 'Introduction to HCRs' provides a simple overview to how HCRs work. Users are able to select their own HCR and step through its performance, year by year. Biological variability and estimation uncertainty are introduced. 'Measuring performance' builds on the previous app and introduces the idea of using performance indicators to measure HCR performance. 'Comparing performance' allows multiple HCRs to be created and tested, and their performance compared so that the preferred HCR can be selected.
Maintained by Finlay Scott. Last updated 2 years ago.
5.56 score 24 scripts
egnha
gestalt:Tools for Making and Combining Functions
Provides a suite of function-building tools centered around a (forward) composition operator, %>>>%, which extends the semantics of the 'magrittr' %>% operator and supports 'Tidyverse' quasiquotation. It enables you to construct composite functions that can be inspected and transformed as list-like objects. In conjunction with %>>>%, a compact function constructor, fn(), and a partial-application constructor, partial(), are also provided; both support quasiquotation.
Maintained by Eugene Ha. Last updated 3 years ago.
anonymous-functionsfunction-compositionpartial-applicationquasiquotation
38 stars 5.53 score 18 scripts
armcn
quickcheck:Property Based Testing
Property based testing, inspired by the original 'QuickCheck'. This package builds on the property based testing framework provided by 'hedgehog' and is designed to seamlessly integrate with 'testthat'.
Maintained by Andrew McNeil. Last updated 1 years ago.
functional-programmingproperty-based-testing
25 stars 4.94 score 70 scripts
bioc
rsbml:R support for SBML, using libsbml
Links R to libsbml for SBML parsing, validating output, provides an S4 SBML DOM, converts SBML to R graph objects. Optionally links to the SBML ODE Solver Library (SOSLib) for simulating models.
Maintained by Michael Lawrence. Last updated 1 months ago.
graphandnetworkpathwaysnetworklibsbmlcpp
4.71 score 19 scripts 1 dependents
schmidtpk
PointFore:Interpretation of Point Forecasts as State-Dependent Quantiles and Expectiles
Estimate specification models for the state-dependent level of an optimal quantile/expectile forecast. Wald Tests and the test of overidentifying restrictions are implemented. Plotting of the estimated specification model is possible. The package contains two data sets with forecasts and realizations: the daily accumulated precipitation at London, UK from the high-resolution model of the European Centre for Medium-Range Weather Forecasts (ECMWF, <https://www.ecmwf.int/>) and GDP growth Greenbook data by the US Federal Reserve. See Schmidt, Katzfuss and Gneiting (2015) <arXiv:1506.01917> for more details on the identification and estimation of a directive behind a point forecast.
Maintained by Patrick Schmidt. Last updated 4 years ago.
4.48 score 20 scriptsrobinhankin
multipol:Multivariate Polynomials
Various utilities to manipulate multivariate polynomials. The package is almost completely superceded by the 'spray' and 'mvp' packages, which are much more efficient.
Maintained by Robin K. S. Hankin. Last updated 2 years ago.
4.28 score 15 scripts 4 dependents
janmarvin
nlsur:Estimating Nonlinear Least Squares for Equation Systems
"Estimation of Nonlinear Least Squares (NLS), Feasible Generalized NLS (FGNLS) and Iterative FGNLS (IFGNLS) for Equation Systems."
Maintained by Jan Marvin Garbuszus. Last updated 8 months ago.
equation-systemsfgnlsifgnlsnlsseemingly-unrelated-regressionopenblascpp
16 stars 3.20 score 8 scripts
bergsmat
wrangle:A Systematic Data Wrangling Idiom
Supports systematic scrutiny, modification, and integration of data. The function status() counts rows that have missing values in grouping columns (returned by na() ), have non-unique combinations of grouping columns (returned by dup() ), and that are not locally sorted (returned by unsorted() ). Functions enumerate() and itemize() give sorted unique combinations of columns, with or without occurrence counts, respectively. Function ignore() drops columns in x that are present in y, and informative() drops columns in x that are entirely NA; constant() returns values that are constant, given a key. Data that have defined unique combinations of grouping values behave more predictably during merge operations.
Maintained by Tim Bergsma. Last updated 5 months ago.
2 stars 2.91 score 41 scripts