Showing 200 of total 525 results (show query)

joshuaulrich

quantmod:Quantitative Financial Modelling Framework

Specify, build, trade, and analyse quantitative financial trading strategies.

Maintained by Joshua M. Ulrich. Last updated 14 days ago.

algorithmic-tradingchartingdata-importfinancetime-series

45.9 match 839 stars 16.17 score 8.1k scripts 343 dependents

braverock

PortfolioAnalytics:Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios

Portfolio optimization and analysis routines and graphics.

Maintained by Brian G. Peterson. Last updated 3 months ago.

27.2 match 81 stars 11.49 score 626 scripts 2 dependents

dmurdoch

plotrix:Various Plotting Functions

Lots of plots, various labeling, axis and color scaling functions. The author/maintainer died in September 2023.

Maintained by Duncan Murdoch. Last updated 1 years ago.

19.2 match 5 stars 11.31 score 9.2k scripts 361 dependents

nflverse

nflreadr:Download 'nflverse' Data

A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.

Maintained by Tan Ho. Last updated 4 months ago.

nflnflfastrnflversesports-data

17.4 match 66 stars 12.46 score 476 scripts 10 dependents

kenithgrey

ggQC:Quality Control Charts for 'ggplot'

Plot single and faceted type quality control charts for 'ggplot'.

Maintained by Kenith Grey. Last updated 6 years ago.

ggplot2qccquality-controlxmr

28.0 match 46 stars 6.74 score 119 scripts

flaviobarros

IQCC:Improved Quality Control Charts

Builds statistical control charts with exact limits for univariate and multivariate cases.

Maintained by Flavio Barros. Last updated 6 years ago.

quality-control

30.0 match 2 stars 3.92 score 28 scripts 1 dependents

rmi-pacta

pacta.interactive.plot:What the Package Does (One Line, Title Case)

What the package does (one paragraph).

Maintained by CJ Yetman. Last updated 8 months ago.

d3data-visualizationinteractive-visualizationspactar2d3

18.1 match 2 stars 5.16 score 7 scripts 1 dependents

usepa

httk:High-Throughput Toxicokinetics

Pre-made models that can be rapidly tailored to various chemicals and species using chemical-specific in vitro data and physiological information. These tools allow incorporation of chemical toxicokinetics ("TK") and in vitro-in vivo extrapolation ("IVIVE") into bioinformatics, as described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>). Chemical-specific in vitro data characterizing toxicokinetics have been obtained from relatively high-throughput experiments. The chemical-independent ("generic") physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models included here can be parameterized with in vitro data or in silico predictions which are provided for thousands of chemicals, multiple exposure routes, and various species. High throughput toxicokinetics ("HTTK") is the combination of in vitro data and generic models. We establish the expected accuracy of HTTK for chemicals without in vivo data through statistical evaluation of HTTK predictions for chemicals where in vivo data do exist. The models are systems of ordinary differential equations that are developed in MCSim and solved using compiled (C-based) code for speed. A Monte Carlo sampler is included for simulating human biological variability (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and propagating parameter uncertainty (Wambaugh et al., 2019 <doi:10.1093/toxsci/kfz205>). Empirically calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>). These functions and data provide a set of tools for using IVIVE to convert concentrations from high-throughput screening experiments (for example, Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).

Maintained by John Wambaugh. Last updated 1 months ago.

comptoxord

7.8 match 27 stars 10.22 score 307 scripts 1 dependents

janmarvin

openxlsx2:Read, Write and Edit 'xlsx' Files

Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.

Maintained by Jan Marvin Garbuszus. Last updated 1 days ago.

xlsxcpp

5.2 match 138 stars 13.67 score 194 scripts 11 dependents

k3jph

waterfall:Waterfall Charts

Provides support for creating waterfall charts in R using both traditional base and lattice graphics.

Maintained by "James P. Howard, II". Last updated 7 years ago.

latticewaterfallwaterfall-charts

16.3 match 3 stars 3.45 score 19 scripts

r-forge

surveillance:Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Hoehle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.

Maintained by Sebastian Meyer. Last updated 2 days ago.

cpp

4.6 match 2 stars 10.68 score 446 scripts 3 dependents

insileco

graphicsutils:Collection of graphics utilities

A collection of functions to easily customize graphics-based plots.

Maintained by Kevin Cazelles. Last updated 3 years ago.

graphicsplotcpp

11.3 match 4 stars 3.90 score 20 scripts

mthrun

DataVisualizations:Visualizations of High-Dimensional Data

Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.

Maintained by Michael Thrun. Last updated 2 months ago.

cpp

5.3 match 7 stars 7.72 score 118 scripts 7 dependents

dankelley

plan:Tools for Project Planning

Supports the creation of 'burndown' charts and 'gantt' diagrams.

Maintained by Dan Kelley. Last updated 2 years ago.

5.6 match 33 stars 7.23 score 103 scripts

scholaempirica

reschola:The Schola Empirica Package

A collection of utilies, themes and templates for data analysis at Schola Empirica.

Maintained by Jan Netรญk. Last updated 5 months ago.

8.3 match 4 stars 4.83 score 14 scripts

inbo

effectclass:Classification and Visualisation of Effects

Classify effects by comparing the confidence intervals with thresholds.

Maintained by Thierry Onkelinx. Last updated 10 months ago.

effect-sizefan-chart

7.5 match 6 stars 5.30 score 37 scripts 1 dependents

felixfan

FinCal:Time Value of Money, Time Series Analysis and Computational Finance

Package for time value of money calculation, time series analysis and computational finance.

Maintained by Felix Yanhui Fan. Last updated 8 years ago.

6.5 match 23 stars 6.02 score 203 scripts 1 dependents

bupaverse

processmapR:Construct Process Maps Using Event Data

Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.

Maintained by Gert Janssenswillen. Last updated 7 months ago.

cpp

4.5 match 9 stars 7.70 score 169 scripts 3 dependents

alexym1

fusionchartsR:Embedding FusionCharts in R

FusionCharts provides awesome and minimalist functions to make beautiful interactive charts <https://www.fusioncharts.com/>.

Maintained by Alex Yahiaoui Martinez. Last updated 3 months ago.

6.4 match 6 stars 4.40 score 42 scripts

davidsjoberg

ggbump:Bump Chart and Sigmoid Curves

A geom for ggplot to create bump plots. Can be good to use for showing rank over time.

Maintained by David Sjoberg. Last updated 2 years ago.

3.1 match 541 stars 8.30 score 408 scripts 3 dependents

framverse

framrsquared:FRAM Database Interface

A convenient tool for interfacing with FRAM access databases in R environments.

Maintained by Ty Garber. Last updated 2 months ago.

4.9 match 6 stars 5.06 score 9 scripts