Showing 15 of total 15 results (show query)
tidymodels
recipes:Preprocessing and Feature Engineering Steps for Modeling
A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
Maintained by Max Kuhn. Last updated 1 days ago.
586 stars 18.80 score 7.2k scripts 383 dependentsrunehaubo
lmerTest:Tests in Linear Mixed Effects Models
Provides p-values in type I, II or III anova and summary tables for lmer model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A Kenward-Roger method is also available via the pbkrtest package. Model selection methods include step, drop1 and anova-like tables for random effects (ranova). Methods for Least-Square means (LS-means) and tests of linear contrasts of fixed effects are also available.
Maintained by Rune Haubo Bojesen Christensen. Last updated 4 years ago.
52 stars 13.09 score 13k scripts 91 dependentsdaattali
ddpcr:Analysis and Visualization of Droplet Digital PCR in R and on the Web
An interface to explore, analyze, and visualize droplet digital PCR (ddPCR) data in R. This is the first non-proprietary software for analyzing two-channel ddPCR data. An interactive tool was also created and is available online to facilitate this analysis for anyone who is not comfortable with using R.
Maintained by Dean Attali. Last updated 1 years ago.
61 stars 9.54 score 131 scripts 2 dependentspoissonconsulting
extras:Helper Functions for Bayesian Analyses
Functions to 'numericise' 'R' objects (coerce to numeric objects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and calculate deviance residuals as well as 'R' translations of some 'BUGS' (Bayesian Using Gibbs Sampling), 'JAGS' (Just Another Gibbs Sampler), 'STAN' and 'TMB' (Template Model Builder) functions.
Maintained by Nicole Hill. Last updated 2 months ago.
9 stars 8.49 score 15 scripts 16 dependentsopen-aims
bayesnec:A Bayesian No-Effect- Concentration (NEC) Algorithm
Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.' (2017)<doi:10.18637/jss.v076.i01> to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECx' values, but more particularly 'NEC' (see Fox (2010)<doi:10.1016/j.ecoenv.2009.09.012>), 'NSEC' (see Fisher and Fox (2023)<doi:10.1002/etc.5610>), and 'N(S)EC (see Fisher et al. 2023<doi:10.1002/ieam.4809>). A full description of this package can be found in Fisher 'et al.' (2024)<doi:10.18637/jss.v110.i05>. This package expands and supersedes an original version implemented in 'R2jags' (see Su and Yajima (2020)<https://CRAN.R-project.org/package=R2jags>; Fisher et al. (2020)<doi:10.5281/ZENODO.3966864>).
Maintained by Rebecca Fisher. Last updated 7 months ago.
bayesian-inferenceconcentration-responseecotoxicologyno-effect-concentrationnon-linear-decaythreshold-derivationtoxicology
13 stars 8.15 score 360 scriptsr-world-devs
cohortBuilder:Data Source Agnostic Filtering Tools
Common API for filtering data stored in different data models. Provides multiple filter types and reproducible R code. Works standalone or with 'shinyCohortBuilder' as the GUI for interactive Shiny apps.
Maintained by Krystian Igras. Last updated 12 days ago.
8 stars 8.01 score 55 scripts 1 dependentsbenubah
control:A Control Systems Toolbox
Solves control systems problems relating to time/frequency response, LTI systems design and analysis, transfer function manipulations, and system conversion.
Maintained by Ben C. Ubah. Last updated 5 years ago.
19 stars 5.86 score 76 scriptsf0nzie
rODE:Ordinary Differential Equation (ODE) Solvers Written in R Using S4 Classes
Show physics, math and engineering students how an ODE solver is made and how effective R classes can be for the construction of the equations that describe natural phenomena. Inspiration for this work comes from the book on "Computer Simulations in Physics" by Harvey Gould, Jan Tobochnik, and Wolfgang Christian. Book link: <http://www.compadre.org/osp/items/detail.cfm?ID=7375>.
Maintained by Alfonso R. Reyes. Last updated 7 years ago.
5.50 score 71 scriptsbioc
INTACT:Integrate TWAS and Colocalization Analysis for Gene Set Enrichment Analysis
This package integrates colocalization probabilities from colocalization analysis with transcriptome-wide association study (TWAS) scan summary statistics to implicate genes that may be biologically relevant to a complex trait. The probabilistic framework implemented in this package constrains the TWAS scan z-score-based likelihood using a gene-level colocalization probability. Given gene set annotations, this package can estimate gene set enrichment using posterior probabilities from the TWAS-colocalization integration step.
Maintained by Jeffrey Okamoto. Last updated 5 months ago.
15 stars 5.47 score 13 scriptsalphaprime7
normfluodbf:Cleans and Normalizes FLUOstar DBF and DAT Files from 'Liposome' Flux Assays
Cleans and Normalizes FLUOstar DBF and DAT Files obtained from liposome flux assays. Users should verify extended usage of the package on files from other assay types.
Maintained by Tingwei Adeck. Last updated 5 months ago.
1 stars 4.98 score 12 scriptsssa-statistical-team-projects
povmap:Extension to the 'emdi' Package
The R package 'povmap' supports small area estimation of means and poverty headcount rates. It adds several new features to the 'emdi' package (see "The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07>). These include new options for incorporating survey weights, ex-post benchmarking of estimates, two additional transformations, several new convenient functions to assist with reporting results, and a wrapper function to facilitate access from 'Stata'.
Maintained by Ifeanyi Edochie. Last updated 5 months ago.
1 stars 4.60 score 10 scriptsmolevolepid
SEEPS:Sequence evolution and epidemiological process simulator
A modular, modern simulation suite and toolkit for simulating transmission networks, phylogenies, and evolutionary pairwise distance matrices under different models and assumptions for viral/sequence evolution. While intially developed for HIV, SEEPS offers modular utilities for custom workflows for extension beyond HIV.
Maintained by Michael Kupperman. Last updated 2 months ago.
biological-sequencesepidemiologyevolutionhivsimulation-framework
1 stars 3.95 score 6 scriptssyerramilli
sysid:System Identification in R
Provides functions for constructing mathematical models of dynamical systems from measured input-output data.
Maintained by Suraj Yerramilli. Last updated 8 years ago.
2.08 score 24 scripts