Showing 12 of total 12 results (show query)
gavinsimpson
gratia:Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Maintained by Gavin L. Simpson. Last updated 14 days ago.
distributional-regressiongamgammgeneralized-additive-mixed-modelsgeneralized-additive-modelsggplot2glmlmmgcvpenalized-splinerandom-effectssmoothingsplines
217 stars 12.99 score 1.6k scripts 2 dependents
choonghyunryu
dlookr:Tools for Data Diagnosis, Exploration, Transformation
A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values, outliers, and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and the relationship between the target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputes missing values and outliers, and resolves skewness. And it creates automated reports that support these three tasks.
Maintained by Choonghyun Ryu. Last updated 10 months ago.
212 stars 11.05 score 748 scripts 2 dependents
lbbe-software
nlstools:Tools for Nonlinear Regression Analysis
Several tools for assessing the quality of fit of a gaussian nonlinear model are provided.
Maintained by Aurelie Siberchicot. Last updated 26 days ago.
6 stars 9.42 score 528 scripts 7 dependents
bioc
nullranges:Generation of null ranges via bootstrapping or covariate matching
Modular package for generation of sets of ranges representing the null hypothesis. These can take the form of bootstrap samples of ranges (using the block bootstrap framework of Bickel et al 2010), or sets of control ranges that are matched across one or more covariates. nullranges is designed to be inter-operable with other packages for analysis of genomic overlap enrichment, including the plyranges Bioconductor package.
Maintained by Michael Love. Last updated 5 months ago.
visualizationgenesetenrichmentfunctionalgenomicsepigeneticsgeneregulationgenetargetgenomeannotationannotationgenomewideassociationhistonemodificationchipseqatacseqdnaseseqrnaseqhiddenmarkovmodelbioconductorbootstrapgenomicsmatchingstatistics
27 stars 8.16 score 50 scripts 1 dependents
nicchr
cheapr:Simple Functions to Save Time and Memory
Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Maintained by Nick Christofides. Last updated 3 days ago.
19 stars 7.21 score 73 scripts 2 dependents
richardhooijmaijers
shinyMixR:Interactive 'shiny' Dashboard for 'nlmixr2'
An R shiny user interface for the 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>) package, designed to simplify the modeling process for users. Additionally, this package includes supplementary functions to further enhances the usage of 'nlmixr2'.
Maintained by Richard Hooijmaijers. Last updated 5 months ago.
11 stars 6.74 score 28 scriptsbioc
made4:Multivariate analysis of microarray data using ADE4
Multivariate data analysis and graphical display of microarray data. Functions include for supervised dimension reduction (between group analysis) and joint dimension reduction of 2 datasets (coinertia analysis). It contains functions that require R package ade4.
Maintained by Aedin Culhane. Last updated 5 months ago.
clusteringclassificationdimensionreductionprincipalcomponenttranscriptomicsmultiplecomparisongeneexpressionsequencingmicroarray
6.11 score 107 scripts 2 dependents
rcalinjageman
esci:Estimation Statistics with Confidence Intervals
A collection of functions and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on 'statpsych' and 'metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.
Maintained by Robert Calin-Jageman. Last updated 1 months ago.
jamovijaspsciencestatisticsvisualization
24 stars 5.24 score 12 scriptsbioc
geNetClassifier:Classify diseases and build associated gene networks using gene expression profiles
Comprehensive package to automatically train and validate a multi-class SVM classifier based on gene expression data. Provides transparent selection of gene markers, their coexpression networks, and an interface to query the classifier.
Maintained by Sara Aibar. Last updated 5 months ago.
classificationdifferentialexpressionmicroarray
4.38 score 1 scripts 2 dependents
cran
iperform:Time Series Performance
A tool to calculate the performance of a time series in a specific date or period. It is more intended for data analysis in the fields of finance, banking, telecommunications or operational marketing.
Maintained by Patrick Ilunga. Last updated 1 years ago.
2.70 scorecran
Fragman:Fragment Analysis in R
Performs fragment analysis using genetic data coming from capillary electrophoresis machines. These are files with FSA extension which stands for FASTA-type file, and .txt files from Beckman CEQ 8000 system, both contain DNA fragment intensities read by machinery. In addition to visualization, it performs automatic scoring of SSRs (Sample Sequence Repeats; a type of genetic marker very common across the genome) and other type of PCR markers (standing for Polymerase Chain Reaction) in biparental populations such as F1, F2, BC (backcross), and diversity panels (collection of genetic diversity).
Maintained by Giovanny Covarrubias-Pazaran. Last updated 7 years ago.
5 stars 2.65 score 1 dependentscran
dynRB:Dynamic Range Boxes
Improves the concept of multivariate range boxes, which is highly susceptible for outliers and does not consider the distribution of the data. The package uses dynamic range boxes to overcome these problems.
Maintained by Marco Tschimpke. Last updated 2 years ago.
2.00 score