close

Showing 7 of total 7 results (show query)

tidymodels

hardhat:Construct Modeling Packages

Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.

Maintained by Hannah Frick. Last updated 2 months ago.

103 stars 14.88 score 175 scripts 436 dependents

nepem-ufsc

metan:Multi Environment Trials Analysis

Performs stability analysis of multi-environment trial data using parametric and non-parametric methods. Parametric methods includes Additive Main Effects and Multiplicative Interaction (AMMI) analysis by Gauch (2013) <doi:10.2135/cropsci2013.04.0241>, Ecovalence by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang (2003) <doi:10.1201/9781420040371>, geometric adaptability index by Mohammadi & Amri (2008) <doi:10.1007/s10681-007-9600-6>, joint regression analysis by Eberhart & Russel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>, genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004) method, power law residuals (POLAR) statistics by Doring et al. (2015) <doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of variation by Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>, stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, weighted average of absolute scores by Olivoto et al. (2019a) <doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>. Non-parametric methods includes superiority index by Lin & Binns (1988) <doi:10.4141/cjps88-018>, nonparametric measures of phenotypic stability by Huehn (1990) <doi:10.1007/BF00024241>, TOP third statistic by Fox et al. (1990) <doi:10.1007/BF00040364>. Functions for computing biometrical analysis such as path analysis, canonical correlation, partial correlation, clustering analysis, and tools for inspecting, manipulating, summarizing and plotting typical multi-environment trial data are also provided.

Maintained by Tiago Olivoto. Last updated 21 days ago.

2 stars 9.48 score 1.3k scripts 2 dependents

biogen-inc

tidyCDISC:Quick Table Generation & Exploratory Analyses on ADaM-Ish Datasets

Provides users a quick exploratory dive into common visualizations without writing a single line of code given the users data follows the Analysis Data Model (ADaM) standards put forth by the Clinical Data Interchange Standards Consortium (CDISC) <https://www.cdisc.org>. Prominent modules/ features of the application are the Table Generator, Population Explorer, and the Individual Explorer. The Table Generator allows users to drag and drop variables and desired statistics (frequencies, means, ANOVA, t-test, and other summary statistics) into bins that automagically create stunning tables with validated information. The Population Explorer offers various plots to visualize general trends in the population from various vantage points. Plot modules currently include scatter plot, spaghetti plot, box plot, histogram, means plot, and bar plot. Each plot type allows the user to plot uploaded variables against one another, and dissect the population by filtering out certain subjects. Last, the Individual Explorer establishes a cohesive patient narrative, allowing the user to interact with patient metrics (params) by visit or plotting important patient events on a timeline. All modules allow for concise filtering & downloading bulk outputs into html or pdf formats to save for later.

Maintained by Aaron Clark. Last updated 2 years ago.

pharmarinpharma

108 stars 6.86 score 19 scripts

statisticspoland

bdl:Interface and Tools for 'BDL' API

Interface to Local Data Bank ('Bank Danych Lokalnych' - 'bdl') API <https://api.stat.gov.pl/Home/BdlApi?lang=en> with set of useful tools like quick plotting and map generating using data from bank.

Maintained by Krzysztof Kania. Last updated 2 years ago.

20 stars 5.74 score 11 scripts

usaid-oha-si

grabr:OHA/SI APIs Package

Provides a series of base functions useful to the GH OHA SI team. These function extend the utility functions in glamr, focusing primarily on API utility functions.

Maintained by Aaron Chafetz. Last updated 6 months ago.

1 stars 5.14 score 69 scripts

josesamos

clc:CORINE Land Cover Data and Styles

Streamline the management, analysis, and visualization of CORINE Land Cover data. Addresses challenges associated with its classification system and related styles, such as color mappings and descriptive labels.

Maintained by Jose Samos. Last updated 4 months ago.

4.52 score 11 scripts 1 dependents

ropengov

geodk:Access Danish Geospatial Data

This package provides access to all geospatial data provided by the danish agency called Klimadatastyrelsen. Under the hood it wraps the `{dawaR}` and `{dkdata}` packages which provide access to the agency APIs.

Maintained by Aleksander Bang-Larsen. Last updated 17 days ago.

ropengovdenmarkdenmark-mapgeodkgeospatialr-lang

3 stars 4.13 score 15 scripts

: