Compute Gower's distance (or similarity) coefficient between records.
Compute the top-n matches between records. Core algorithms are
executed in parallel on systems supporting OpenMP.
WWW: https://cran.r-project.org/web/packages/gower/
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.
WWW: https://cran.r-project.org/web/packages/RcppRoll/
Contains procedures for depth-based supervised learning, which are
entirely non-parametric, in particular the DDalpha-procedure (Lange,
Mosler and Mozharovskyi, 2014). The training data sample is transformed
by a statistical depth function to a compact low-dimensional space,
where the final classification is done. It also offers an extension
to functional data and routines for calculating certain notions of
statistical depth functions. 50 multivariate and 5 functional
classification problems are included.
WWW: https://cran.r-project.org/web/packages/ddalpha/
"Essential" Robust Statistics. Tools allowing to analyze data with
robust methods. This includes regression methodology including model
selections and multivariate statistics where we strive to cover the
book "Robust Statistics, Theory and Methods" by 'Maronna, Martin
and Yohai'; Wiley 2006.
WWW: https://cran.r-project.org/web/packages/robustbase/
Differential Evolution (DE) stochastic algorithms for global
optimization of problems with and without constraints. The aim is
to curate a collection of its state-of-the-art variants that (1)
do not sacrifice simplicity of design, (2) are essentially tuning-free,
and (3) can be efficiently implemented directly in the R language.
Currently, it only provides an implementation of the 'jDE' algorithm
by Brest et al. (2006) <doi:10.1109/TEVC.2006.872133>.
WWW: https://cran.r-project.org/web/packages/DEoptimR/
Functions to work with date-times and time-spans: fast and user
friendly parsing of date-time data, extraction and updating of
components of a date-time (years, months, days, hours, minutes, and
seconds), algebraic manipulation on date-time and time-span objects.
The 'lubridate' package has a consistent and memorable syntax that
makes working with dates easy and fun.
WWW: https://cran.r-project.org/web/packages/lubridate/
This package implements the fast cross-validation via sequential
testing (CVST) procedure. CVST is an improved cross-validation
procedure which uses non-parametric testing coupled with sequential
analysis to determine the best parameter set on linearly increasing
subsets of the data. By eliminating underperforming candidates
quickly and keeping promising candidates as long as possible, the
method speeds up the computation while preserving the capability
of a full cross-validation. Additionally to the CVST the package
contains an implementation of the ordinary k-fold cross-validation
with a flexible and powerful set of helper objects and methods to
handle the overall model selection process. The implementations of
the Cochran's Q test with permutations and the sequential testing
framework of Wald are generic and can therefore also be used in
other contexts.
WWW: https://cran.r-project.org/web/packages/CVST/
Kernel-based machine learning methods for classification, regression,
clustering, novelty detection, quantile regression and dimensionality
reduction. Among other methods 'kernlab' includes Support Vector
Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and
a QP solver.
WWW: https://cran.r-project.org/web/packages/kernlab/
Improved predictive models by indirect classification and bagging
for classification, regression and survival problems as well as
resampling based estimators of prediction error.
WWW: https://cran.r-project.org/web/packages/ipred/
Fast and user friendly implementation of nonparametric estimators
for censored event history (survival) analysis. Kaplan-Meier and
Aalen-Johansen method.
WWW: https://cran.r-project.org/web/packages/prodlim/
- Added option "stderr" that allows logging only standard error output.
- If using only option "log" combined standard output and standard
error are used.
PR: 222123
Submitted by: nbari@tequila.io (maintainer)
- Allow to encrypt/decrypt as a service by using a remote HTTP endpoint
for fetching private keys.
PR: 222124
Submitted by: nbari@tequila.io (maintainer)
- Fix in CegoQueryHelper::aggregateTuple, in case of min-Aggregation,
wrong results may occur, if null values have to be treated. Since
null value handling is now treated inside CegoFieldValue, some code
here was obsolete.
- Fix in CegoPredDesc for INSUB and NOTINSUB constructor + clone
method. There was a confusing with the isNegated flag which has
been corrected ( also in using class CegoAction ) The wrong negation
might lead to wrong query result for views using subselect with in
or not in subselects
- Bug fix in CegoDistCursor::getTuple, for the LEFTOUTER case and
moreRight conditions, the right table cursor was called double time
( native and with nextRight ). The native call has to be removed
since this may lead to strange effects actually just observed for
mingw compiles
Submitted by: Bjoern Lemke <lemke@lemke-it.com>
