Showing 11 of total 11 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 2 days ago.
586 stars 18.80 score 7.2k scripts 383 dependents
bioc
ComplexHeatmap:Make Complex Heatmaps
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics.
Maintained by Zuguang Gu. Last updated 5 months ago.
softwarevisualizationsequencingclusteringcomplex-heatmapsheatmap
1.4k stars 16.94 score 16k scripts 155 dependents
statistikat
VIM:Visualization and Imputation of Missing Values
New tools for the visualization of missing and/or imputed values are introduced, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missing values and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods. A graphical user interface available in the separate package VIMGUI allows an easy handling of the implemented plot methods.
Maintained by Matthias Templ. Last updated 8 months ago.
hotdeckimputation-methodsmodel-predictionsvisualizationcpp
85 stars 14.44 score 2.6k scripts 19 dependents
winvector
vtreat:A Statistically Sound 'data.frame' Processor/Conditioner
A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, <DOI:10.5281/zenodo.1173313>.
Maintained by John Mount. Last updated 3 months ago.
categorical-variablesmachine-learning-algorithmsnested-modelsprepare-data
285 stars 11.19 score 328 scripts 1 dependents
adeverse
adegraphics:An S4 Lattice-Based Package for the Representation of Multivariate Data
Graphical functionalities for the representation of multivariate data. It is a complete re-implementation of the functions available in the 'ade4' package.
Maintained by Aurélie Siberchicot. Last updated 8 months ago.
9 stars 10.29 score 386 scripts 7 dependents
bioc
cancerclass:Development and validation of diagnostic tests from high-dimensional molecular data
The classification protocol starts with a feature selection step and continues with nearest-centroid classification. The accurarcy of the predictor can be evaluated using training and test set validation, leave-one-out cross-validation or in a multiple random validation protocol. Methods for calculation and visualization of continuous prediction scores allow to balance sensitivity and specificity and define a cutoff value according to clinical requirements.
Maintained by Daniel Kosztyla. Last updated 5 months ago.
cancermicroarrayclassificationvisualization
3.30 score 10 scripts
epiforecasts
idbrms:Infectious Disease Modelling Using brms
Infectious disease modelling using brms.
Maintained by Sam Abbott. Last updated 3 years ago.
brmsinfectious-disease-modelsopensource
4 stars 2.60 score 3 scripts
jfrench
hero:Spatio-Temporal (Hero) Sandwich Smoother
An implementation of the sandwich smoother proposed in Fast Bivariate Penalized Splines by Xiao et al. (2012) <doi:10.1111/rssb.12007>. A hero is a specific type of sandwich. Dictionary.com (2018) <https://www.dictionary.com> describes a hero as: a large sandwich, usually consisting of a small loaf of bread or long roll cut in half lengthwise and containing a variety of ingredients, as meat, cheese, lettuce, and tomatoes. Also implements the spatio-temporal sandwich smoother of French and Kokoszka (2021) <doi:10.1016/j.spasta.2020.100413>.
Maintained by Joshua French. Last updated 2 years ago.
1.70 score 6 scripts
benbruyneel
proteinAnnotation:ProteinAnnotation
Display protein information.
Maintained by Ben Bruyneel. Last updated 1 years ago.
mass-spectrometryproteomicsproteomics-data-analysis
1.70 score 1 scripts
cran
cg:Compare Groups, Analytically and Graphically
Comprehensive data analysis software, and the name "cg" stands for "compare groups." Its genesis and evolution are driven by common needs to compare administrations, conditions, etc. in medicine research and development. The current version provides comparisons of unpaired samples, i.e. a linear model with one factor of at least two levels. It also provides comparisons of two paired samples. Good data graphs, modern statistical methods, and useful displays of results are emphasized.
Maintained by Bill Pikounis. Last updated 9 years ago.
1.60 score