About Anaconda Help Download Anaconda

ODSP-TEST / packages

Filters
Package Name Access Summary Updated
r-base public R is a free software environment for statistical computing and graphics. 2023-06-16
aniso8601 public A library for parsing ISO 8601 strings. 2023-06-16
retrying public Simplify the task of adding retry behavior to just about anything. 2023-06-16
pywavelets public Discrete Wavelet Transforms in Python 2023-06-16
imageio public A Python library for reading and writing image data 2023-06-16
kiwisolver public A fast implementation of the Cassowary constraint solver 2023-06-16
r-foreign public Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ... 2023-06-16
r-squarem public Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM"). 2023-06-16
r-quantmod public No Summary 2023-06-16
r-numderiv public Methods for calculating (usually) accurate numerical first and second order derivatives. Accurate calculations are done using 'Richardson''s' extrapolation or, when applicable, a complex step derivative is available. A simple difference method is also provided. Simple difference is (usually) less accurate but is much quicker than 'Richardson''s' extrapolation and provides a useful cross-check. Methods are provided for real scalar and vector valued functions. 2023-06-16
r-ttr public Technical Trading Rules 2023-06-16
r-lava public Latent Variable Models 2023-06-16
r-ipred public Improved Predictors 2023-06-16
r-xts public eXtensible Time Series 2023-06-16
r-rcpproll public Provides fast and efficient routines for common rolling / windowed operations. Routines for the efficient computation of windowed mean, median, sum, product, minimum, maximum, standard deviation and variance are provided. 2023-06-16
r-prodlim public Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method. 2023-06-16
r-rbokeh public A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library <http://bokeh.pydata.org/>. 2023-06-16
r-gower public Gower's Distance 2023-06-16
r-timedate public The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates. 2023-06-16
r-shiny public Web Application Framework for R 2023-06-16
r-promises public No Summary 2023-06-16
r-httpuv public HTTP and WebSocket Server Library 2023-06-16
r-later public Utilities for Delaying Function Execution 2023-06-16
pytest-runner public No Summary 2023-06-16
gmp public No Summary 2023-06-16
glob2 public No Summary 2023-06-16
python-crfsuite public No Summary 2023-06-16
pyopenssl public No Summary 2023-06-16
future public No Summary 2023-06-16
gmpy2 public No Summary 2023-06-16
mpfr public No Summary 2023-06-16
parso public No Summary 2023-06-16
atomicwrites public No Summary 2023-06-16
more-itertools public No Summary 2023-06-16
vcversioner public No Summary 2023-06-16
backcall public No Summary 2023-06-16
mpc public No Summary 2023-06-16
attrs public No Summary 2023-06-16
apache-maven public No Summary 2023-06-16
xgboost public XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. 2023-06-16
send2trash public No Summary 2023-06-16
yq public No Summary 2023-06-16
r-withr public No Summary 2023-06-16
s3transfer public No Summary 2023-06-16
r-rstudioapi public Safely Access the RStudio API 2023-06-16
botocore public No Summary 2023-06-16
brewer2mpl public No Summary 2023-06-16
gensim public No Summary 2023-06-16
r-memoise public No Summary 2023-06-16
jpype1 public No Summary 2023-06-16

© 2024 Anaconda, Inc. All Rights Reserved. (v4.0.6) Legal | Privacy Policy