Showing 18 of total 18 results (show query)
poissonconsulting
chk:Check User-Supplied Function Arguments
For developers to check user-supplied function arguments. It is designed to be simple, fast and customizable. Error messages follow the tidyverse style guide.
Maintained by Joe Thorley. Last updated 2 months ago.
48 stars 11.91 score 22 scripts 98 dependents
ss3sim
ss3sim:Fisheries Stock Assessment Simulation Testing with Stock Synthesis
A framework for fisheries stock assessment simulation testing with Stock Synthesis (SS3) as described in Anderson et al. (2014) <doi:10.1371/journal.pone.0092725>.
Maintained by Kelli F. Johnson. Last updated 5 months ago.
fisheriessimulationstock-synthesis
39 stars 8.72 score 149 scripts
nliulab
AutoScore:An Interpretable Machine Learning-Based Automatic Clinical Score Generator
A novel interpretable machine learning-based framework to automate the development of a clinical scoring model for predefined outcomes. Our novel framework consists of six modules: variable ranking with machine learning, variable transformation, score derivation, model selection, domain knowledge-based score fine-tuning, and performance evaluation.The details are described in our research paper<doi:10.2196/21798>. Users or clinicians could seamlessly generate parsimonious sparse-score risk models (i.e., risk scores), which can be easily implemented and validated in clinical practice. We hope to see its application in various medical case studies.
Maintained by Feng Xie. Last updated 27 days ago.
32 stars 7.70 score 30 scriptspoissonconsulting
checkr:Check the Properties of Common R Objects
Expressive, assertive, pipe-friendly functions to check the properties of common R objects. In the case of failure the functions issue informative error messages. Superseded by the 'chk' package.
Maintained by Joe Thorley. Last updated 2 months ago.
13 stars 7.18 score 258 scripts 1 dependents
egenn
rtemis:Machine Learning and Visualization
Advanced Machine Learning and Visualization. Unsupervised Learning (Clustering, Decomposition), Supervised Learning (Classification, Regression), Cross-Decomposition, Bagging, Boosting, Meta-models. Static and interactive graphics.
Maintained by E.D. Gennatas. Last updated 2 months ago.
data-sciencedata-visualizationmachine-learningmachine-learning-libraryvisualization
145 stars 7.09 score 50 scripts 2 dependents
gastonstat
plspm:Tools for Partial Least Squares Path Modeling (PLS-PM)
Partial Least Squares Path Modeling (PLS-PM) analysis for both metric and non-metric data, as well as REBUS analysis for latent class detection.
Maintained by Gaston Sanchez. Last updated 3 years ago.
67 stars 6.97 score 115 scripts
venpopov
bmm:Easy and Accessible Bayesian Measurement Models Using 'brms'
Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into 'brms' syntax, a powerful and flexible framework for fitting Bayesian regression models using 'Stan'. The package is designed so that users can easily apply state-of-the-art models in various research fields, and so that researchers can use it as a new model development framework. References: Frischkorn and Popov (2023) <doi:10.31234/osf.io/umt57>.
Maintained by Vencislav Popov. Last updated 26 days ago.
15 stars 5.92 score 35 scripts
mastoffel
inbreedR:Analysing Inbreeding Based on Genetic Markers
A framework for analysing inbreeding and heterozygosity-fitness correlations (HFCs) based on microsatellite and SNP markers.
Maintained by Martin A. Stoffel. Last updated 5 months ago.
3 stars 5.88 score 51 scripts
boehringer-ingelheim
oncomsm:Bayesian Multi-State Models for Early Oncology
Implements methods to fit a parametric Bayesian multi-state model to tumor response data. The model can be used to sample from the predictive distribution to impute missing data and calculate probability of success for custom decision criteria in early clinical trials during an ongoing trial. The inference is implemented using 'stan'.
Maintained by Kevin Kunzmann. Last updated 2 years ago.
8 stars 5.80 score 13 scripts
llrs
experDesign:Design Experiments for Batches
Distributes samples in batches while making batches homogeneous according to their description. Allows for an arbitrary number of variables, both numeric and categorical. For quality control it provides functions to subset a representative sample.
Maintained by Lluís Revilla Sancho. Last updated 3 months ago.
10 stars 5.48 score 1 scripts
federico-m-stefanini
convergEU:Monitoring Convergence of EU Countries
Indicators and measures by country and time describe what happens at economic and social levels. This package provides functions to calculate several measures of convergence after imputing missing values. The automated downloading of Eurostat data, followed by the production of country fiches and indicator fiches, makes possible to produce automated reports. The Eurofound report (<doi:10.2806/68012>) "Upward convergence in the EU: Concepts, measurements and indicators", 2018, is a detailed presentation of convergence.
Maintained by Federico M. Stefanini. Last updated 2 years ago.
1 stars 4.95 score 89 scripts
davzim
dataverifyr:A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data
Allows you to define rules which can be used to verify a given dataset. The package acts as a thin wrapper around more powerful data packages such as 'dplyr', 'data.table', 'arrow', and 'DBI' ('SQL'), which do the heavy lifting.
Maintained by David Zimmermann-Kollenda. Last updated 1 years ago.
27 stars 4.13 score 7 scripts
philipagnew
anovir:Analysis of Virulence
Epidemiological population dynamics models traditionally define a pathogen's virulence as the increase in the per capita rate of mortality of infected hosts due to infection. This package provides functions allowing virulence to be estimated by maximum likelihood techniques. The approach is based on the analysis of relative survival comparing survival in matching cohorts of infected vs. uninfected hosts (Agnew 2019) <doi:10.1101/530709>.
Maintained by Philip Agnew. Last updated 4 years ago.
3.34 score 20 scripts
rfitak
CircMLE:Maximum Likelihood Analysis of Circular Data
A series of wrapper functions to implement the 10 maximum likelihood models of animal orientation described by Schnute and Groot (1992) <DOI:10.1016/S0003-3472(05)80068-5>. The functions also include the ability to use different optimizer methods and calculate various model selection metrics (i.e., AIC, AICc, BIC). The ability to perform variants of the Hermans-Rasson test and Pycke test is also included as described in Landler et al. (2019) <DOI:10.1186/s12898-019-0246-8>. The latest version also includes a new method to calculate circular-circular and circular-linear distance correlations.
Maintained by Robert Fitak. Last updated 5 years ago.
2.80 score 25 scripts
cran
LARisk:Estimation of Lifetime Attributable Risk of Cancer from Radiation Exposure
Compute lifetime attributable risk of radiation-induced cancer reveals that it can be helpful with enhancement of the flexibility in research with fast calculation and various options. Important reference papers include Berrington de Gonzalez et al. (2012) <doi:10.1088/0952-4746/32/3/205>, National Research Council (2006, ISBN:978-0-309-09156-5).
Maintained by Juhee Lee. Last updated 3 years ago.
2.00 score
rl1081
GCCfactor:GCC Estimation of the Multilevel Factor Model
Provides methods for model selection, estimation, bootstrap inference, and simulation for the multilevel factor model, based on the principal component estimation and generalised canonical correlation approach. Details can be found in "Generalised Canonical Correlation Estimation of the Multilevel Factor Model." Lin and Shin (2023) <doi:10.2139/ssrn.4295429>.
Maintained by Rui Lin. Last updated 1 years ago.
1.00 score