R-universe search: exports:time

Showing 11 of total 11 results (show query)

rspatial

terra:Spatial Data Analysis

Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).

Maintained by Robert J. Hijmans. Last updated 2 days ago.

geospatial raster spatial vector onetbb proj gdal geos cpp

559 stars 17.64 score 17k scripts 855 dependents

kingaa

pomp:Statistical Inference for Partially Observed Markov Processes

Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.

Maintained by Aaron A. King. Last updated 8 days ago.

abc b-spline differential-equations dynamical-systems iterated-filtering likelihood likelihood-free markov-chain-monte-carlo markov-model mathematical-modelling measurement-error particle-filter sequential-monte-carlo simulation-based-inference sobol-sequence state-space statistical-inference stochastic-processes time-series openblas

114 stars 11.74 score 1.3k scripts 4 dependents

cran

timeSeries:Financial Time Series Objects (Rmetrics)

'S4' classes and various tools for financial time series: Basic functions such as scaling and sorting, subsetting, mathematical operations and statistical functions.

Maintained by Georgi N. Boshnakov. Last updated 6 months ago.

2 stars 7.89 score 146 dependents

jellegoeman

penalized:L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation in GLMs and in the Cox Model

Fitting possibly high dimensional penalized regression models. The penalty structure can be any combination of an L1 penalty (lasso and fused lasso), an L2 penalty (ridge) and a positivity constraint on the regression coefficients. The supported regression models are linear, logistic and Poisson regression and the Cox Proportional Hazards model. Cross-validation routines allow optimization of the tuning parameters.

Maintained by Jelle Goeman. Last updated 3 years ago.

openblas cpp

4 stars 7.09 score 429 scripts 17 dependents

archaeostat

ArchaeoPhases:Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling

Statistical analysis of archaeological dates and groups of dates. This package allows to post-process Markov Chain Monte Carlo (MCMC) simulations from 'ChronoModel' <https://chronomodel.com/>, 'Oxcal' <https://c14.arch.ox.ac.uk/oxcal.html> or 'BCal' <https://bcal.shef.ac.uk/>. It provides functions for the study of rhythms of the long term from the posterior distribution of a series of dates (tempo and activity plot). It also allows the estimation and visualization of time ranges from the posterior distribution of groups of dates (e.g. duration, transition and hiatus between successive phases) as described in Philippe and Vibet (2020) <doi:10.18637/jss.v093.c01>.

Maintained by Anne Philippe. Last updated 12 months ago.

archaeology bayesian-statistics geochronology markov-chain radiocarbon-dates

10 stars 6.90 score 66 scripts

beanumber

tidychangepoint:A Tidy Framework for Changepoint Detection Analysis

Changepoint detection algorithms for R are widespread but have different interfaces and reporting conventions. This makes the comparative analysis of results difficult. We solve this problem by providing a tidy, unified interface for several different changepoint detection algorithms. We also provide consistent numerical and graphical reporting leveraging the 'broom' and 'ggplot2' packages.

Maintained by Benjamin S. Baumer. Last updated 2 months ago.

2 stars 5.30 score 8 scripts

tesselle

kairos:Analysis of Chronological Patterns from Archaeological Count Data

A toolkit for absolute and relative dating and analysis of chronological patterns. This package includes functions for chronological modeling and dating of archaeological assemblages from count data. It provides methods for matrix seriation. It also allows to compute time point estimates and density estimates of the occupation and duration of an archaeological site.

Maintained by Nicolas Frerebeau. Last updated 25 days ago.

chronology matrix-seriation archaeology archaeological-science

4.66 score 11 scripts 1 dependents

datacloning

dcmle:Hierarchical Models Made Easy with Data Cloning

S4 classes around infrastructure provided by the 'coda' and 'dclone' packages to make package development easy as a breeze with data cloning for hierarchical models.

Maintained by Peter Solymos. Last updated 6 months ago.

jags cpp

4.60 score 66 scripts 2 dependents

sckott

httping:'Ping' 'URLs' to Time 'Requests'

A suite of functions to ping 'URLs' and to time 'HTTP' 'requests'. Designed to work with 'httr'.

Maintained by Scott Chamberlain. Last updated 2 years ago.

http http-client http-requests httping

10 stars 3.70 score 2 scripts

tconwell

html5:Creates Valid HTML5 Strings

Generates valid HTML tag strings for HTML5 elements documented by Mozilla. Attributes are passed as named lists, with names being the attribute name and values being the attribute value. Attribute values are automatically double-quoted. To declare a DOCTYPE, wrap html() with function doctype(). Mozilla's documentation for HTML5 is available here: <https://developer.mozilla.org/en-US/docs/Web/HTML/Element>. Elements marked as obsolete are not included.

Maintained by Timothy Conwell. Last updated 2 years ago.

1 stars 3.65 score 1 scripts 3 dependents

syerramilli

sysid:System Identification in R

Provides functions for constructing mathematical models of dynamical systems from measured input-output data.

Maintained by Suraj Yerramilli. Last updated 8 years ago.

2.08 score 24 scripts