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Enchufa2 committed Oct 30, 2024
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25 changes: 13 additions & 12 deletions specs/R-CRAN-Directional.spec
Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname Directional
%global packver 6.8
%global packver 6.9
%global rlibdir /usr/local/lib/R/library

Name: R-CRAN-%{packname}
Version: 6.8
Version: 6.9
Release: 1%{?dist}%{?buildtag}
Summary: A Collection of Functions for Directional Data Analysis

Expand Down Expand Up @@ -50,7 +50,7 @@ with millions of observations) analysis. Hypothesis testing, discriminant
and regression analysis, MLE of distributions and more are included. The
standard textbook for such data is the "Directional Statistics" by Mardia,
K. V. and Jupp, P. E. (2000). Other references include a) Phillip J.
Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). "An
Paine, Simon P. Preston, Michail Tsagris and Andrew T. A. Wood (2018). "An
elliptically symmetric angular Gaussian distribution". Statistics and
Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M.
and Alenazi A. (2019). "Comparison of discriminant analysis methods on the
Expand All @@ -62,15 +62,16 @@ Statistics and Computing 30(1): 153--165.
<doi:10.1007/s11222-019-09872-2>. d) Tsagris M. and Alenazi A. (2024). "An
investigation of hypothesis testing procedures for circular and spherical
mean vectors". Communications in Statistics-Simulation and Computation,
53(3): 1387--1408. <doi:10.1080/03610918.2022.2045499>. e) Tsagris M. and
Alzeley O. (2023). "Circular and spherical projected Cauchy distributions:
A Novel Framework for Circular and Directional Data Modeling".
<doi:10.48550/arXiv.2302.02468>. f) Zehao Yu and Xianzheng Huang (2024). A
new parameterization for elliptically symmetric angular Gaussian
distributions of arbitrary dimension. Electronic Journal of Statistics,
18(1): 301--334. <doi:10.1214/23-EJS2210>. g) Tsagris M. (2024).
"Directional data analysis using the spherical Cauchy and the
Poisson-kernel based distribution". <doi:10.48550/arXiv.2409.03292>.
53(3): 1387--1408. <doi:10.1080/03610918.2022.2045499>. e) Zehao Yu and
Xianzheng Huang (2024). A new parameterization for elliptically symmetric
angular Gaussian distributions of arbitrary dimension. Electronic Journal
of Statistics, 18(1): 301--334. <doi:10.1214/23-EJS2210>. f) Tsagris M.
and Alzeley O. (2024). "Circular and spherical projected Cauchy
distributions: A Novel Framework for Circular and Directional Data
Modeling". <doi:10.48550/arXiv.2302.02468>. g) Tsagris M. and
Papastamoulis P. (2024). "Directional data analysis using the spherical
Cauchy and the Poisson kernel-based distribution".
<doi:10.48550/arXiv.2409.03292>.

%prep
%setup -q -c -n %{packname}
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36 changes: 19 additions & 17 deletions specs/R-CRAN-DisaggregateTS.spec
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@@ -1,41 +1,43 @@
%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname DisaggregateTS
%global packver 2.0.0
%global packver 3.0.0
%global rlibdir /usr/local/lib/R/library

Name: R-CRAN-%{packname}
Version: 2.0.0
Version: 3.0.0
Release: 1%{?dist}%{?buildtag}
Summary: High-Dimensional Temporal Disaggregation

License: GPL (>= 3)
License: GPL-3
URL: https://cran.r-project.org/package=%{packname}
Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires: R-devel
Requires: R-core
BuildRequires: R-devel >= 3.5.0
Requires: R-core >= 3.5.0
BuildArch: noarch
BuildRequires: R-CRAN-Rdpack
BuildRequires: R-CRAN-zoo
BuildRequires: R-CRAN-lars
BuildRequires: R-stats
BuildRequires: R-CRAN-Matrix
BuildRequires: R-CRAN-lars
BuildRequires: R-CRAN-zoo
BuildRequires: R-CRAN-withr
Requires: R-CRAN-Rdpack
Requires: R-CRAN-zoo
Requires: R-CRAN-lars
Requires: R-stats
Requires: R-CRAN-Matrix
Requires: R-CRAN-lars
Requires: R-CRAN-zoo
Requires: R-CRAN-withr

%description
First - Generates (potentially high-dimensional) high-frequency and
low-frequency series for simulation studies in temporal disaggregation;
Second - a toolkit utilizing temporal disaggregation and benchmarking
techniques with a low-dimensional matrix of indicator series previously
proposed in Dagum and Cholette (2006, ISBN:978-0-387-35439-2) ; and Third
- novel techniques proposed by Mosley, Gibberd and Eckley (2021)
<arXiv:2108.05783> for disaggregating low-frequency series in the presence
of high-dimensional indicator matrices.
Provides tools for temporal disaggregation, including: (1)
High-dimensional and low-dimensional series generation for simulation
studies; (2) A toolkit for temporal disaggregation and benchmarking using
low-dimensional indicator series as proposed by Dagum and Cholette (2006,
ISBN:978-0-387-35439-2); (3) Novel techniques by Mosley, Gibberd, and
Eckley (2022, <doi:10.1111/rssa.12952>) for disaggregating low-frequency
series in the presence of high-dimensional indicator matrices.

%prep
%setup -q -c -n %{packname}
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4 changes: 2 additions & 2 deletions specs/R-CRAN-ECG.spec
Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname ECG
%global packver 0.5.1
%global packver 0.5.2
%global rlibdir /usr/local/lib/R/library

Name: R-CRAN-%{packname}
Version: 0.5.1
Version: 0.5.2
Release: 1%{?dist}%{?buildtag}
Summary: Center of Gravity Methods

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11 changes: 7 additions & 4 deletions specs/R-CRAN-FinNet.spec
Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname FinNet
%global packver 0.1.2
%global packver 0.2
%global rlibdir /usr/local/lib/R/library

Name: R-CRAN-%{packname}
Version: 0.1.2
Version: 0.2
Release: 1%{?dist}%{?buildtag}
Summary: Quickly Build and Manipulate Financial Networks

Expand All @@ -16,13 +16,14 @@ Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz

BuildRequires: R-devel >= 2.10
Requires: R-core >= 2.10
BuildArch: noarch
BuildRequires: R-CRAN-Matrix
BuildRequires: R-grDevices
BuildRequires: R-methods
BuildRequires: R-CRAN-Rcpp
Requires: R-CRAN-Matrix
Requires: R-grDevices
Requires: R-methods
Requires: R-CRAN-Rcpp

%description
Providing classes, methods, and functions to deal with financial networks.
Expand All @@ -33,7 +34,9 @@ creating various types of financial networks depending on the type of
relation between its units depending on the relation under scrutiny
(ownership, board interlocks, etc.), the desired tie type (valued or
binary), and renders them in the most common formats (adjacency matrix,
incidence matrix, edge list, 'igraph', 'network').
incidence matrix, edge list, 'igraph', 'network'). There are also ad-hoc
functions for the Fiedler value, global network efficiency, and
cascade-failure analysis.

%prep
%setup -q -c -n %{packname}
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6 changes: 2 additions & 4 deletions specs/R-CRAN-MCARtest.spec
Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname MCARtest
%global packver 1.2.1
%global packver 1.2.2
%global rlibdir /usr/local/lib/R/library

Name: R-CRAN-%{packname}
Version: 1.2.1
Version: 1.2.2
Release: 1%{?dist}%{?buildtag}
Summary: Optimal Nonparametric Testing of Missing Completely at Random

Expand All @@ -26,7 +26,6 @@ BuildRequires: R-CRAN-pracma
BuildRequires: R-CRAN-highs
BuildRequires: R-CRAN-Matrix
BuildRequires: R-CRAN-Rcsdp
BuildRequires: R-CRAN-misty
BuildRequires: R-CRAN-norm
BuildRequires: R-CRAN-missMethods
BuildRequires: R-CRAN-copula
Expand All @@ -41,7 +40,6 @@ Requires: R-CRAN-pracma
Requires: R-CRAN-highs
Requires: R-CRAN-Matrix
Requires: R-CRAN-Rcsdp
Requires: R-CRAN-misty
Requires: R-CRAN-norm
Requires: R-CRAN-missMethods
Requires: R-CRAN-copula
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87 changes: 87 additions & 0 deletions specs/R-CRAN-PublicWorksFinanceIT.spec
Original file line number Diff line number Diff line change
@@ -0,0 +1,87 @@
%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname PublicWorksFinanceIT
%global packver 0.3.0
%global rlibdir /usr/local/lib/R/library

Name: R-CRAN-%{packname}
Version: 0.3.0
Release: 1%{?dist}%{?buildtag}
Summary: Soil Defense Investments in Italy: Data Retrieval, Analysis, Visualization

License: GPL (>= 3)
URL: https://cran.r-project.org/package=%{packname}
Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires: R-devel
Requires: R-core
BuildArch: noarch
BuildRequires: R-CRAN-magrittr
BuildRequires: R-CRAN-dplyr
BuildRequires: R-CRAN-ggplot2
BuildRequires: R-CRAN-httr
BuildRequires: R-CRAN-leaflet
BuildRequires: R-CRAN-lubridate
BuildRequires: R-CRAN-rlang
BuildRequires: R-CRAN-rvest
BuildRequires: R-CRAN-scales
BuildRequires: R-CRAN-sf
BuildRequires: R-CRAN-tibble
BuildRequires: R-CRAN-tidyr
BuildRequires: R-CRAN-plotly
BuildRequires: R-CRAN-spdep
BuildRequires: R-CRAN-knitr
Requires: R-CRAN-magrittr
Requires: R-CRAN-dplyr
Requires: R-CRAN-ggplot2
Requires: R-CRAN-httr
Requires: R-CRAN-leaflet
Requires: R-CRAN-lubridate
Requires: R-CRAN-rlang
Requires: R-CRAN-rvest
Requires: R-CRAN-scales
Requires: R-CRAN-sf
Requires: R-CRAN-tibble
Requires: R-CRAN-tidyr
Requires: R-CRAN-plotly
Requires: R-CRAN-spdep
Requires: R-CRAN-knitr

%description
Facilitates the retrieval and analysis of financial data related to public
works in Italy, focusing on soil defense investments. It extracts data
from 'OpenCoesione', 'OpenBDAP', and the 'ReNDiS' database, eliminating
the need for direct access to these platforms. The package boasts a
user-friendly design, featuring real time updates and a set of functions
tailored for data retrieval and visualization. See the webpages for
further information <http://www.rendis.isprambiente.it/rendisweb/>,
<https://opencoesione.gov.it/en/>, and
<https://bdap-opendata.rgs.mef.gov.it/>.

%prep
%setup -q -c -n %{packname}

# fix end of executable files
find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
# prevent binary stripping
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true
[ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \
sed -i 's@-g0@@g' {} \; || true
# don't allow local prefix in executable scripts
find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \;

%build

%install

mkdir -p %{buildroot}%{rlibdir}
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname}
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so)
rm -f %{buildroot}%{rlibdir}/R.css
# remove buildroot from installed files
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}
40 changes: 16 additions & 24 deletions specs/R-CRAN-QuadratiK.spec
Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname QuadratiK
%global packver 1.1.1
%global packver 1.1.2
%global rlibdir /usr/local/lib/R/library

Name: R-CRAN-%{packname}
Version: 1.1.1
Version: 1.1.2
Release: 1%{?dist}%{?buildtag}
Summary: Collection of Methods Constructed using Kernel-Based Quadratic Distances

Expand All @@ -16,55 +16,47 @@ Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz

BuildRequires: R-devel >= 3.5.0
Requires: R-core >= 3.5.0
BuildRequires: R-CRAN-cluster
BuildRequires: R-CRAN-clusterRepro
BuildRequires: R-parallel
BuildRequires: R-CRAN-doParallel
BuildRequires: R-CRAN-foreach
BuildRequires: R-CRAN-ggpp
BuildRequires: R-CRAN-ggplot2
BuildRequires: R-CRAN-ggpubr
BuildRequires: R-CRAN-mclust
BuildRequires: R-methods
BuildRequires: R-CRAN-moments
BuildRequires: R-CRAN-movMF
BuildRequires: R-CRAN-mvtnorm
BuildRequires: R-CRAN-Rcpp
BuildRequires: R-CRAN-RcppEigen
BuildRequires: R-CRAN-rgl
BuildRequires: R-CRAN-rlecuyer
BuildRequires: R-CRAN-rrcov
BuildRequires: R-CRAN-sn
BuildRequires: R-stats
BuildRequires: R-CRAN-Tinflex
Requires: R-CRAN-cluster
Requires: R-CRAN-clusterRepro
BuildRequires: R-CRAN-rrcov
BuildRequires: R-CRAN-scatterplot3d
Requires: R-parallel
Requires: R-CRAN-doParallel
Requires: R-CRAN-foreach
Requires: R-CRAN-ggpp
Requires: R-CRAN-ggplot2
Requires: R-CRAN-ggpubr
Requires: R-CRAN-mclust
Requires: R-methods
Requires: R-CRAN-moments
Requires: R-CRAN-movMF
Requires: R-CRAN-mvtnorm
Requires: R-CRAN-Rcpp
Requires: R-CRAN-RcppEigen
Requires: R-CRAN-rgl
Requires: R-CRAN-rlecuyer
Requires: R-CRAN-rrcov
Requires: R-CRAN-sn
Requires: R-stats
Requires: R-CRAN-Tinflex
Requires: R-CRAN-rrcov
Requires: R-CRAN-scatterplot3d

%description
It includes test for multivariate normality, test for uniformity on the
Sphere, non-parametric two- and k-sample tests, random generation of
points from the Poisson kernel-based density and clustering algorithm for
spherical data. For more information see Saraceno, G., Markatou, M.,
Mukhopadhyay, R., Golzy, M. (2024) <doi:10.48550/arXiv.2402.02290>, Ding,
Y., Markatou, M., Saraceno, G. (2023) <doi:10.5705/ss.202022.0347>, and
Golzy, M., Markatou, M. (2020) <doi:10.1080/10618600.2020.1740713>.
d-dimensional Sphere, non-parametric two- and k-sample tests, random
generation of points from the Poisson kernel-based density and clustering
algorithm for spherical data. For more information see Saraceno G.,
Markatou M., Mukhopadhyay R. and Golzy M. (2024)
<doi:10.48550/arXiv.2402.02290> Markatou, M. and Saraceno, G. (2024)
<doi:10.48550/arXiv.2407.16374>, Ding, Y., Markatou, M. and Saraceno, G.
(2023) <doi:10.5705/ss.202022.0347>, and Golzy, M. and Markatou, M. (2020)
<doi:10.1080/10618600.2020.1740713>.

%prep
%setup -q -c -n %{packname}
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4 changes: 2 additions & 2 deletions specs/R-CRAN-RcmdrPlugin.DoE.spec
Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname RcmdrPlugin.DoE
%global packver 0.12-5
%global packver 0.12-6
%global rlibdir /usr/local/lib/R/library

Name: R-CRAN-%{packname}
Version: 0.12.5
Version: 0.12.6
Release: 1%{?dist}%{?buildtag}
Summary: R Commander Plugin for (Industrial) Design of Experiments

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4 changes: 2 additions & 2 deletions specs/R-CRAN-TDApplied.spec
Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname TDApplied
%global packver 3.0.3
%global packver 3.0.4
%global rlibdir /usr/local/lib/R/library

Name: R-CRAN-%{packname}
Version: 3.0.3
Version: 3.0.4
Release: 1%{?dist}%{?buildtag}
Summary: Machine Learning and Inference for Topological Data Analysis

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