_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-tmt 0.3.6-4
Propagated dependencies: r-rlang@1.1.6 r-rcpp@1.1.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://jansteinfeld.github.io/tmt/
Licenses: GPL 3
Build system: r
Synopsis: Estimation of the Rasch Model for Multistage Tests
Description:

This package provides conditional maximum likelihood (CML) item parameter estimation of both sequential and cumulative deterministic multistage designs (Zwitser & Maris, 2015, <doi:10.1007/s11336-013-9369-6>) and probabilistic sequential and cumulative multistage designs (Steinfeld & Robitzsch, 2024, <doi:10.1007/s41237-024-00228-3>). Supports CML item parameter estimation of conventional linear designs and additional functions for the likelihood ratio test (Andersen, 1973, <doi:10.1007/BF02291180>) as well as functions for simulating various types of multistage designs.

r-twn 0.2.6
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://redtent.github.io/twn/
Licenses: Expat
Build system: r
Synopsis: Taxa Waterbeheer Nederland voor R
Description:

The TWN-list (Taxa Waterbeheer Nederland) is the Dutch standard for naming taxons in Dutch Watermanagement. This package makes it easier to use the TWN-list for ecological analyses. It consists of two parts. First it makes the TWN-list itself available in R. Second, it has a few functions that make it easy to perform some basic and often recurring tasks for checking and consulting taxonomic data from the TWN-list.

r-testdataimputation 2.3
Propagated dependencies: r-mice@3.18.0 r-amelia@1.8.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TestDataImputation
Licenses: GPL 2+
Build system: r
Synopsis: Missing Item Responses Imputation for Test and Assessment Data
Description:

This package provides functions for imputing missing item responses for dichotomous and polytomous test and assessment data. This package enables missing imputation methods that are suitable for test and assessment data, including: listwise (LW) deletion (see De Ayala et al. 2001 <doi:10.1111/j.1745-3984.2001.tb01124.x>), treating as incorrect (IN, see Lord, 1974 <doi: 10.1111/j.1745-3984.1974.tb00996.x>; Mislevy & Wu, 1996 <doi: 10.1002/j.2333-8504.1996.tb01708.x>; Pohl et al., 2014 <doi: 10.1177/0013164413504926>), person mean imputation (PM), item mean imputation (IM), two-way (TW) and response function (RF) imputation, (see Sijtsma & van der Ark, 2003 <doi: 10.1207/s15327906mbr3804_4>), logistic regression (LR) imputation, predictive mean matching (PMM), and expectationâ maximization (EM) imputation (see Finch, 2008 <doi: 10.1111/j.1745-3984.2008.00062.x>).

r-toc 0.0-6
Propagated dependencies: r-terra@1.8-86 r-bit@4.6.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/amsantac/TOC
Licenses: GPL 3
Build system: r
Synopsis: Total Operating Characteristic Curve and ROC Curve
Description:

Construction of the Total Operating Characteristic (TOC) Curve and the Receiver (aka Relative) Operating Characteristic (ROC) Curve for spatial and non-spatial data. The TOC method is a modification of the ROC method which measures the ability of an index variable to diagnose either presence or absence of a characteristic. The diagnosis depends on whether the value of an index variable is above a threshold. Each threshold generates a two-by-two contingency table, which contains four entries: hits (H), misses (M), false alarms (FA), and correct rejections (CR). While ROC shows for each threshold only two ratios, H/(H + M) and FA/(FA + CR), TOC reveals the size of every entry in the contingency table for each threshold (Pontius Jr., R.G., Si, K. 2014. <doi:10.1080/13658816.2013.862623>).

r-tsissm 1.0.2
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-viridislite@0.4.2 r-tsmethods@1.0.3 r-tsdistributions@1.0.3 r-tsaux@1.0.0 r-tmb@1.9.18 r-sandwich@3.1-1 r-rtmb@1.8 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-progressr@0.18.0 r-nloptr@2.2.1 r-future-apply@1.20.0 r-future@1.68.0 r-flextable@0.9.10 r-data-table@1.17.8 r-copula@1.1-7
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/tsmodels/tsissm
Licenses: GPL 2
Build system: r
Synopsis: Linear Innovations State Space Unobserved Components Model
Description:

Unobserved components time series model using the linear innovations state space representation (single source of error) with choice of error distributions and option for dynamic variance. Methods for estimation using automatic differentiation, automatic model selection and ensembling, prediction, filtering, simulation and backtesting. Based on the model described in Hyndman et al (2012) <doi:10.1198/jasa.2011.tm09771>.

r-tidylo 0.2.0
Propagated dependencies: r-rlang@1.1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://juliasilge.github.io/tidylo/
Licenses: Expat
Build system: r
Synopsis: Weighted Tidy Log Odds Ratio
Description:

How can we measure how the usage or frequency of some feature, such as words, differs across some group or set, such as documents? One option is to use the log odds ratio, but the log odds ratio alone does not account for sampling variability; we haven't counted every feature the same number of times so how do we know which differences are meaningful? Enter the weighted log odds, which tidylo provides an implementation for, using tidy data principles. In particular, here we use the method outlined in Monroe, Colaresi, and Quinn (2008) <doi:10.1093/pan/mpn018> to weight the log odds ratio by a prior. By default, the prior is estimated from the data itself, an empirical Bayes approach, but an uninformative prior is also available.

r-twowaytests 1.5
Propagated dependencies: r-wesanderson@0.3.7 r-onewaytests@3.1 r-nortest@1.0-4 r-mass@7.3-65 r-ggplot2@4.0.1 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=twowaytests
Licenses: GPL 2+
Build system: r
Synopsis: Two-Way Tests in Independent Groups Designs
Description:

This package performs two-way tests in independent groups designs. These are two-way ANOVA, two-way ANOVA under heteroscedasticity: parametric bootstrap based generalized test and generalized pivotal quantity based generalized test, two-way ANOVA for medians, trimmed means, M-estimators. The package performs descriptive statistics and graphical approaches. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots. All twowaytests functions are designed for two-way layout (Dag et al., 2024, <doi:10.1016/j.softx.2024.101862>).

r-tintin 0.2
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tintin
Licenses: Expat
Build system: r
Synopsis: Tintin Palette Generator
Description:

Palettes generated from Tintin covers. There is one palette per cover, with a total of 24 palettes of 5 colours each. Includes functions to interpolate colors in order to create more colors based on the provided palettes.The data is based on Cyr, et al. (2004) <doi:10.1503/cmaj.1041405> and Wikipedia <https://en.wikipedia.org/wiki/The_Adventures_of_Tintin>.

r-texter 0.1.9
Propagated dependencies: r-tidytext@0.4.3 r-tidyr@1.3.1 r-textdata@0.4.5 r-stringr@1.6.0 r-stopwords@2.3 r-purrr@1.2.0 r-plyr@1.8.9 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/simmieyungie/texter
Licenses: Expat
Build system: r
Synopsis: An Easy Text and Sentiment Analysis Library
Description:

Implement text and sentiment analysis with texter'. Generate sentiment scores on text data and also visualize sentiments. texter allows you to quickly generate insights on your data. It includes support for lexicons such as NRC and Bing'.

r-tidymc 1.0.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-kableextra@1.4.0 r-hms@1.1.4 r-ggplot2@4.0.1 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/stefanlinner/tidyMC
Licenses: Expat
Build system: r
Synopsis: Monte Carlo Simulations Made Easy and Tidy
Description:

Framework to run Monte Carlo simulations over a parameter grid. Allows to parallelize the simulations. Generates plots and LaTeX tables summarizing the results from the simulation.

r-ttbary 0.3-2
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-model@3.5-0 r-spatstat-linnet@3.3-2 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-spatstat@3.4-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=ttbary
Licenses: GPL 2+
Build system: r
Synopsis: Barycenter Methods for Spatial Point Patterns
Description:

Computes a point pattern in R^2 or on a graph that is representative of a collection of many data patterns. The result is an approximate barycenter (also known as Fréchet mean or prototype) based on a transport-transform metric. Possible choices include Optimal SubPattern Assignment (OSPA) and Spike Time metrics. Details can be found in Müller, Schuhmacher and Mateu (2020) <doi:10.1007/s11222-020-09932-y>.

r-thamesmix 0.1.3
Propagated dependencies: r-withr@3.0.2 r-sparsediscrim@0.3.0 r-rfast@2.1.5.2 r-quadprog@1.5-8 r-mvtnorm@1.3-3 r-igraph@2.2.1 r-gor@2.0 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=thamesmix
Licenses: GPL 3+
Build system: r
Synopsis: Truncated Harmonic Mean Estimator of the Marginal Likelihood for Mixtures
Description:

This package implements the truncated harmonic mean estimator (THAMES) of the reciprocal marginal likelihood for uni- and multivariate mixture models using posterior samples and unnormalized log posterior values via reciprocal importance sampling. Metodiev, Irons, Perrot-Dockès, Latouche & Raftery (2025) <doi:10.48550/arXiv.2504.21812>.

r-test2norm 0.3.0.1
Propagated dependencies: r-mfp2@1.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=test2norm
Licenses: GPL 2+
Build system: r
Synopsis: Normative Standards for Cognitive Tests
Description:

Package test2norm contains functions to generate formulas for normative standards applied to cognitive tests. It takes raw test scores (e.g., number of correct responses) and converts them to scaled scores and demographically adjusted scores, using methods described in Heaton et al. (2003) <doi:10.1016/B978-012703570-3/50010-9> & Heaton et al. (2009, ISBN:9780199702800). The scaled scores are calculated as quantiles of the raw test scores, scaled to have the mean of 10 and standard deviation of 3, such that higher values always correspond to better performance on the test. The demographically adjusted scores are calculated from the residuals of a model that regresses scaled scores on demographic predictors (e.g., age). The norming procedure makes use of the mfp2() function from the mfp2 package to explore nonlinear associations between cognition and demographic variables.

r-tfprobability 0.15.2
Propagated dependencies: r-tensorflow@2.20.0 r-reticulate@1.44.1 r-magrittr@2.0.4 r-keras@2.16.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rstudio/tfprobability
Licenses: ASL 2.0
Build system: r
Synopsis: Interface to 'TensorFlow Probability'
Description:

Interface to TensorFlow Probability', a Python library built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', GPU'). TensorFlow Probability includes a wide selection of probability distributions and bijectors, probabilistic layers, variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.

r-tpacdata 0.1.0
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TPACData
Licenses: GPL 2+
Build system: r
Synopsis: Human Protein Atlas Data for Tissue-Adjusted Pathway Analysis of Cancer (TPAC)
Description:

This package contains summary data on gene expression in normal human tissues from the Human Protein Atlas for use with the Tissue-Adjusted Pathway Analysis of cancer (TPAC) method. Frost, H. Robert (2023) "Tissue-adjusted pathway analysis of cancer (TPAC)" <doi:10.1101/2022.03.17.484779>.

r-tensorbss 0.3.9
Propagated dependencies: r-tsbss@1.0.0 r-tensor@1.5.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-jade@2.0-4 r-ictest@0.3-6 r-ggplot2@4.0.1 r-fica@1.1-3 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tensorBSS
Licenses: GPL 2+
Build system: r
Synopsis: Blind Source Separation Methods for Tensor-Valued Observations
Description:

This package contains several utility functions for manipulating tensor-valued data (centering, multiplication from a single mode etc.) and the implementations of the following blind source separation methods for tensor-valued data: tPCA', tFOBI', tJADE', k-tJADE', tgFOBI', tgJADE', tSOBI', tNSS.SD', tNSS.JD', tNSS.TD.JD', tPP and tTUCKER'.

r-trelliscopejs 0.2.11
Propagated dependencies: r-webshot@0.5.5 r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-knitr@1.50 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-gtable@0.3.6 r-ggplot2@4.0.1 r-fidelius@0.0.2 r-dplyr@1.1.4 r-distributionutils@0.6-2 r-digest@0.6.39 r-base64enc@0.1-3 r-autocogs@0.1.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://hafen.github.io/trelliscopejs/
Licenses: Modified BSD
Build system: r
Synopsis: Create Interactive Trelliscope Displays
Description:

Trelliscope is a scalable, flexible, interactive approach to visualizing data (Hafen, 2013 <doi:10.1109/LDAV.2013.6675164>). This package provides methods that make it easy to create a Trelliscope display specification for TrelliscopeJS. High-level functions are provided for creating displays from within tidyverse or ggplot2 workflows. Low-level functions are also provided for creating new interfaces.

r-ttservice 0.5.3
Propagated dependencies: r-plotly@4.11.0 r-matrix@1.7-4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=ttservice
Licenses: GPL 3
Build system: r
Synopsis: Service for Tidy Transcriptomics Software Suite
Description:

It provides generic methods that are used by more than one package, avoiding conflicts. This package will be imported by tidySingleCellExperiment and tidyseurat'.

r-trd 1.1
Propagated dependencies: r-rlab@4.5.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TRD
Licenses: GPL 2+
Build system: r
Synopsis: Transmission Ratio Distortion
Description:

Transmission Ratio Distortion (TRD) is a genetic phenomenon where the two alleles from either parent are not transmitted to the offspring at the expected 1:1 ratio under Mendelian inheritance, leading to spurious signals in genetic association studies. Functions in this package are developed to account for this phenomenon using loglinear model and Transmission Disequilibrium Test (TDT). Some population information can also be calculated.

r-transfr 1.1.4
Propagated dependencies: r-units@1.0-0 r-stars@0.6-8 r-sf@1.0-23 r-rdpack@2.6.4 r-glmnet@4.1-10 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://gitlab.irstea.fr/HYCAR-Hydro/transfr
Licenses: GPL 2
Build system: r
Synopsis: Transfer of Hydrograph from Gauged to Ungauged Catchments
Description:

This package provides a geomorphology-based hydrological modelling for transferring streamflow measurements from gauged to ungauged catchments. Inverse modelling enables to estimate net rainfall from streamflow measurements following Boudhraâ et al. (2018) <doi:10.1080/02626667.2018.1425801>. Resulting net rainfall is then estimated on the ungauged catchments by spatial interpolation in order to finally simulate streamflow following de Lavenne et al. (2016) <doi:10.1002/2016WR018716>.

r-tidycdisc 0.2.2
Propagated dependencies: r-vroom@1.6.6 r-tippy@0.1.0 r-timevis@2.1.0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-survival@3.8-3 r-stringr@1.6.0 r-stringdist@0.9.15 r-sjlabelled@1.2.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rmarkdown@2.30 r-rlang@1.1.6 r-readxl@1.4.5 r-purrr@1.2.0 r-plotly@4.11.0 r-pkgload@1.4.1 r-ideafilter@0.2.1 r-haven@2.5.5 r-gtsummary@2.5.0 r-gt@1.3.0 r-golem@0.5.1 r-glue@1.8.0 r-ggsurvfit@1.2.0 r-ggplot2@4.0.1 r-ggcorrplot@0.1.4.1 r-ggally@2.4.0 r-fs@1.6.6 r-dt@0.34.0 r-dplyr@1.1.4 r-config@0.3.2 r-cli@3.6.5 r-cicerone@1.0.4 r-broom-helpers@1.22.0 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Biogen-Inc/tidyCDISC/
Licenses: AGPL 3+
Build system: r
Synopsis: Quick Table Generation & Exploratory Analyses on ADaM-Ish Datasets
Description:

This package 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.

r-tabnet 0.8.0
Propagated dependencies: r-zeallot@0.2.0 r-withr@3.0.2 r-vctrs@0.6.5 r-tune@2.0.1 r-torch@0.16.3 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-parsnip@1.3.3 r-matrix@1.7-4 r-magrittr@2.0.4 r-hardhat@1.4.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-dials@1.4.2 r-data-tree@1.2.0 r-coro@1.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://mlverse.github.io/tabnet/
Licenses: Expat
Build system: r
Synopsis: Fit 'TabNet' Models for Classification and Regression
Description:

This package implements the TabNet model by Sercan O. Arik et al. (2019) <doi:10.48550/arXiv.1908.07442> with Coherent Hierarchical Multi-label Classification Networks by Giunchiglia et al. <doi:10.48550/arXiv.2010.10151> and provides a consistent interface for fitting and creating predictions. It's also fully compatible with the tidymodels ecosystem.

r-tsbss 1.0.0
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-jade@2.0-4 r-ictest@0.3-6 r-forecast@8.24.0 r-bssprep@0.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tsBSS
Licenses: GPL 2+
Build system: r
Synopsis: Blind Source Separation and Supervised Dimension Reduction for Time Series
Description:

Different estimators are provided to solve the blind source separation problem for multivariate time series with stochastic volatility and supervised dimension reduction problem for multivariate time series. Different functions based on AMUSE and SOBI are also provided for estimating the dimension of the white noise subspace. The package is fully described in Nordhausen, Matilainen, Miettinen, Virta and Taskinen (2021) <doi:10.18637/jss.v098.i15>.

r-thesface 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-purrr@1.2.0 r-nnet@7.3-20 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TheSFACE
Licenses: GPL 2+
Build system: r
Synopsis: The Subtype Free Average Causal Effect
Description:

Estimation of the SF-ACE, a Causal Inference estimand proposed in the paper "The Subtype-Free Average Causal Effect For Heterogeneous Disease Etiology" (soon on arXiv).

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Total results: 21457