Title: Vector Generalized Linear and Additive Models
Description: An implementation of about 6 major classes of
statistical regression models. The central algorithm is
Fisher scoring and iterative reweighted least squares.
At the heart of this package are the vector generalized linear
and additive model (VGLM/VGAM) classes. VGLMs can be loosely
thought of as multivariate GLMs. VGAMs are data-driven
VGLMs that use smoothing. The book "Vector Generalized
Linear and Additive Models: With an Implementation in R"
(Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of
the statistical framework and the package. Currently only
fixed-effects models are implemented. Many (150+) models and
distributions are estimated by maximum likelihood estimation
(MLE) or penalized MLE. The other classes are RR-VGLMs
(reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs,
RCIMs (row-column interaction models)---these classes perform
constrained and unconstrained quadratic ordination (CQO/UQO)
models in ecology, as well as constrained additive ordination
(CAO). Note that these functions are subject to change;
see the NEWS and ChangeLog files for latest changes.
Author: Thomas W. Yee <t.yee@auckland.ac.nz>
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>
Diff between VGAM versions 1.0-5 dated 2018-02-07 and 1.0-6 dated 2018-08-18
VGAM-1.0-5/VGAM/man/gaussianff.Rd |only VGAM-1.0-5/VGAM/man/quasibinomialff.Rd |only VGAM-1.0-5/VGAM/man/quasipoissonff.Rd |only VGAM-1.0-6/VGAM/DESCRIPTION | 30 VGAM-1.0-6/VGAM/MD5 | 264 +-- VGAM-1.0-6/VGAM/NAMESPACE | 25 VGAM-1.0-6/VGAM/NEWS | 59 VGAM-1.0-6/VGAM/R/anova.vglm.q |only VGAM-1.0-6/VGAM/R/calibrate.R | 1581 ++++++++++++++++------- VGAM-1.0-6/VGAM/R/cqo.fit.q | 18 VGAM-1.0-6/VGAM/R/family.aunivariate.R | 289 +++- VGAM-1.0-6/VGAM/R/family.basics.R | 32 VGAM-1.0-6/VGAM/R/family.binomial.R | 208 +-- VGAM-1.0-6/VGAM/R/family.bivariate.R | 888 ++++++++++++ VGAM-1.0-6/VGAM/R/family.categorical.R | 295 ++++ VGAM-1.0-6/VGAM/R/family.genetic.R | 9 VGAM-1.0-6/VGAM/R/family.glmgam.R | 39 VGAM-1.0-6/VGAM/R/family.math.R | 136 + VGAM-1.0-6/VGAM/R/family.nbd.R | 9 VGAM-1.0-6/VGAM/R/family.normal.R | 16 VGAM-1.0-6/VGAM/R/family.rcim.R | 36 VGAM-1.0-6/VGAM/R/family.rrr.R | 283 ++-- VGAM-1.0-6/VGAM/R/family.ts.R | 10 VGAM-1.0-6/VGAM/R/family.univariate.R | 24 VGAM-1.0-6/VGAM/R/family.zeroinf.R | 12 VGAM-1.0-6/VGAM/R/generic.q | 2 VGAM-1.0-6/VGAM/R/links.q | 22 VGAM-1.0-6/VGAM/R/mux.q | 42 VGAM-1.0-6/VGAM/R/profilevglm.R | 7 VGAM-1.0-6/VGAM/R/residuals.vlm.q | 105 + VGAM-1.0-6/VGAM/R/summary.vglm.q | 11 VGAM-1.0-6/VGAM/R/vglm.control.q | 22 VGAM-1.0-6/VGAM/R/vglm.fit.q | 2 VGAM-1.0-6/VGAM/R/wald0.R | 10 VGAM-1.0-6/VGAM/build/vignette.rds |binary VGAM-1.0-6/VGAM/data/Huggins89.t1.rda |binary VGAM-1.0-6/VGAM/data/Huggins89table1.rda |binary VGAM-1.0-6/VGAM/data/alclevels.rda |binary VGAM-1.0-6/VGAM/data/alcoff.rda |binary VGAM-1.0-6/VGAM/data/auuc.rda |binary VGAM-1.0-6/VGAM/data/backPain.rda |binary VGAM-1.0-6/VGAM/data/beggs.rda |binary VGAM-1.0-6/VGAM/data/car.all.rda |binary VGAM-1.0-6/VGAM/data/cfibrosis.rda |binary VGAM-1.0-6/VGAM/data/corbet.rda |binary VGAM-1.0-6/VGAM/data/crashbc.rda |binary VGAM-1.0-6/VGAM/data/crashf.rda |binary VGAM-1.0-6/VGAM/data/crashi.rda |binary VGAM-1.0-6/VGAM/data/crashmc.rda |binary VGAM-1.0-6/VGAM/data/crashp.rda |binary VGAM-1.0-6/VGAM/data/crashtr.rda |binary VGAM-1.0-6/VGAM/data/deermice.rda |binary VGAM-1.0-6/VGAM/data/ducklings.rda |binary VGAM-1.0-6/VGAM/data/finney44.rda |binary VGAM-1.0-6/VGAM/data/flourbeetle.rda |binary VGAM-1.0-6/VGAM/data/hspider.rda |binary VGAM-1.0-6/VGAM/data/lakeO.rda |binary VGAM-1.0-6/VGAM/data/leukemia.rda |binary VGAM-1.0-6/VGAM/data/marital.nz.rda |binary VGAM-1.0-6/VGAM/data/melbmaxtemp.rda |binary VGAM-1.0-6/VGAM/data/pneumo.rda |binary VGAM-1.0-6/VGAM/data/prinia.rda |binary VGAM-1.0-6/VGAM/data/ruge.rda |binary VGAM-1.0-6/VGAM/data/toxop.rda |binary VGAM-1.0-6/VGAM/data/venice.rda |binary VGAM-1.0-6/VGAM/data/venice90.rda |binary VGAM-1.0-6/VGAM/data/wine.rda |binary VGAM-1.0-6/VGAM/inst/doc/categoricalVGAM.R | 52 VGAM-1.0-6/VGAM/inst/doc/categoricalVGAM.Rnw | 1 VGAM-1.0-6/VGAM/inst/doc/categoricalVGAM.pdf |binary VGAM-1.0-6/VGAM/inst/doc/crVGAM.pdf |binary VGAM-1.0-6/VGAM/man/BICvlm.Rd | 39 VGAM-1.0-6/VGAM/man/CommonVGAMffArguments.Rd | 6 VGAM-1.0-6/VGAM/man/Max.Rd | 4 VGAM-1.0-6/VGAM/man/Opt.Rd | 32 VGAM-1.0-6/VGAM/man/QvarUC.Rd | 9 VGAM-1.0-6/VGAM/man/R2latvar.Rd |only VGAM-1.0-6/VGAM/man/Tol.Rd | 8 VGAM-1.0-6/VGAM/man/VGAM-package.Rd | 102 + VGAM-1.0-6/VGAM/man/alaplace3.Rd | 7 VGAM-1.0-6/VGAM/man/anovavglm.Rd |only VGAM-1.0-6/VGAM/man/bell.Rd |only VGAM-1.0-6/VGAM/man/bellUC.Rd |only VGAM-1.0-6/VGAM/man/bellff.Rd |only VGAM-1.0-6/VGAM/man/betabinomUC.Rd | 132 + VGAM-1.0-6/VGAM/man/betabinomial.Rd | 14 VGAM-1.0-6/VGAM/man/binomialff.Rd | 96 - VGAM-1.0-6/VGAM/man/binormal.Rd | 5 VGAM-1.0-6/VGAM/man/calibrate-methods.Rd | 4 VGAM-1.0-6/VGAM/man/calibrate.Rd | 36 VGAM-1.0-6/VGAM/man/calibrate.qrrvglm.Rd | 261 +++ VGAM-1.0-6/VGAM/man/calibrate.qrrvglm.control.Rd | 30 VGAM-1.0-6/VGAM/man/calibrate.rrvglm.Rd | 161 +- VGAM-1.0-6/VGAM/man/calibrate.rrvglm.control.Rd | 6 VGAM-1.0-6/VGAM/man/cao.Rd | 15 VGAM-1.0-6/VGAM/man/cloglog.Rd | 12 VGAM-1.0-6/VGAM/man/concoef.Rd | 5 VGAM-1.0-6/VGAM/man/cqo.Rd | 31 VGAM-1.0-6/VGAM/man/crashes.Rd | 8 VGAM-1.0-6/VGAM/man/cumulative.Rd | 3 VGAM-1.0-6/VGAM/man/df.residual.Rd | 3 VGAM-1.0-6/VGAM/man/gamma2.Rd | 6 VGAM-1.0-6/VGAM/man/gammaR.Rd | 25 VGAM-1.0-6/VGAM/man/huber.Rd | 5 VGAM-1.0-6/VGAM/man/lambertW.Rd | 36 VGAM-1.0-6/VGAM/man/logLikvlm.Rd | 3 VGAM-1.0-6/VGAM/man/logit.Rd | 13 VGAM-1.0-6/VGAM/man/lqnorm.Rd | 6 VGAM-1.0-6/VGAM/man/lrt.stat.Rd | 18 VGAM-1.0-6/VGAM/man/lrtest.Rd | 3 VGAM-1.0-6/VGAM/man/model.matrixqrrvglm.Rd |only VGAM-1.0-6/VGAM/man/nbcanlink.Rd | 7 VGAM-1.0-6/VGAM/man/negbinomial.Rd | 22 VGAM-1.0-6/VGAM/man/negbinomial.size.Rd | 5 VGAM-1.0-6/VGAM/man/notdocumentedyet.Rd | 15 VGAM-1.0-6/VGAM/man/nparamvglm.Rd | 2 VGAM-1.0-6/VGAM/man/ordsup.Rd |only VGAM-1.0-6/VGAM/man/plotqrrvglm.Rd | 4 VGAM-1.0-6/VGAM/man/poissonff.Rd | 95 - VGAM-1.0-6/VGAM/man/predictqrrvglm.Rd | 37 VGAM-1.0-6/VGAM/man/predictvglm.Rd | 3 VGAM-1.0-6/VGAM/man/probit.Rd | 4 VGAM-1.0-6/VGAM/man/propodds.Rd | 3 VGAM-1.0-6/VGAM/man/qrrvglm.control.Rd | 55 VGAM-1.0-6/VGAM/man/qvar.Rd | 2 VGAM-1.0-6/VGAM/man/rcqo.Rd | 53 VGAM-1.0-6/VGAM/man/residualsvglm.Rd |only VGAM-1.0-6/VGAM/man/score.stat.Rd | 5 VGAM-1.0-6/VGAM/man/tobit.Rd | 9 VGAM-1.0-6/VGAM/man/trinormal.Rd |only VGAM-1.0-6/VGAM/man/trinormalUC.Rd |only VGAM-1.0-6/VGAM/man/trplot.Rd | 2 VGAM-1.0-6/VGAM/man/undocumented-methods.Rd | 11 VGAM-1.0-6/VGAM/man/uninormal.Rd | 10 VGAM-1.0-6/VGAM/man/vcovvlm.Rd | 21 VGAM-1.0-6/VGAM/man/vgam.Rd | 11 VGAM-1.0-6/VGAM/man/vglm.Rd | 26 VGAM-1.0-6/VGAM/man/wald.stat.Rd | 5 VGAM-1.0-6/VGAM/vignettes/categoricalVGAM.Rnw | 1 VGAM-1.0-6/VGAM/vignettes/categoricalVGAMbib.bib | 12 140 files changed, 4606 insertions(+), 1497 deletions(-)
Title: Hierarchical Ensemble Methods for Directed Acyclic Graphs
Description: An implementation of Hierarchical Ensemble Methods for Directed Acyclic Graphs (DAGs). The 'HEMDAG' package can be used to enhance the predictions of virtually any flat learning methods, by taking into account the hierarchical nature of the classes of a bio-ontology. 'HEMDAG' is specifically designed for exploiting the hierarchical relationships of DAG-structured taxonomies, such as the Human Phenotype Ontology (HPO) or the Gene Ontology (GO), but it can be also safely applied to tree-structured taxonomies (as FunCat), since trees are DAGs. 'HEMDAG' scale nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples. (Marco Notaro, Max Schubach, Peter N. Robinson and Giorgio Valentini (2017) <doi:10.1186/s12859-017-1854-y>).
Author: Marco Notaro [aut, cre] (<https://orcid.org/0000-0003-4309-2200>),
Alessandro Petrini [ctb] (<https://orcid.org/0000-0002-0587-1484>),
Giorgio Valentini [aut] (<https://orcid.org/0000-0002-5694-3919>)
Maintainer: Marco Notaro <marco.notaro@unimi.it>
Diff between HEMDAG versions 2.2.3 dated 2018-08-15 and 2.2.4 dated 2018-08-18
CHANGELOG | 5 ++ DESCRIPTION | 6 +-- MD5 | 34 +++++++++---------- R/GPAV.R | 36 +++++++------------- R/HEMDAG-defunct.R | 2 - R/TPR-DAG.R | 63 +++++++++++++++++------------------- R/heuristic.methods.R | 36 +++++++------------- R/htd.R | 36 +++++++------------- inst/doc/HEMDAG.pdf |binary man/Do.GPAV.Rd | 17 +++------ man/Do.GPAV.holdout.Rd | 19 ++++------ man/Do.HTD.Rd | 17 +++------ man/Do.HTD.holdout.Rd | 19 ++++------ man/Do.heuristic.methods.Rd | 17 +++------ man/Do.heuristic.methods.holdout.Rd | 19 ++++------ man/TPR-DAG-cross-validation.Rd | 23 +++++-------- man/TPR-DAG-holdout.Rd | 26 ++++++-------- src/GPAV.cpp | 9 ----- 18 files changed, 154 insertions(+), 230 deletions(-)
Title: Subset- And Name-Aware Array Utility Functions
Description: Stacking arrays according to dimension names, subset-aware
splitting and mapping of functions, intersecting along arbitrary
dimensions, converting to and from data.frames, and many other helper
functions.
Author: Michael Schubert <mschu.dev@gmail.com>
Maintainer: Michael Schubert <mschu.dev@gmail.com>
Diff between narray versions 0.4.0 dated 2018-01-28 and 0.4.1 dated 2018-08-18
narray-0.4.0/narray/man/map_simple.Rd |only narray-0.4.1/narray/DESCRIPTION | 10 +++--- narray-0.4.1/narray/MD5 | 30 ++++++++++--------- narray-0.4.1/narray/R/construct.r | 26 +++++++---------- narray-0.4.1/narray/R/lambda.r | 28 +++++++++++------- narray-0.4.1/narray/R/map.r | 17 +++++++---- narray-0.4.1/narray/R/melt.r | 21 +++++++++---- narray-0.4.1/narray/R/stack.r | 13 +++++--- narray-0.4.1/narray/R/util.r | 10 ++++++ narray-0.4.1/narray/build/vignette.rds |binary narray-0.4.1/narray/inst/doc/narray.html | 38 +++++++++++-------------- narray-0.4.1/narray/man/construct.Rd | 2 - narray-0.4.1/narray/man/map_one.Rd |only narray-0.4.1/narray/man/melt.Rd | 2 - narray-0.4.1/narray/man/pb.Rd |only narray-0.4.1/narray/man/stack.Rd | 5 ++- narray-0.4.1/narray/tests/testthat/test-map.r | 20 ++++++------- narray-0.4.1/narray/tests/testthat/test-melt.r |only 18 files changed, 129 insertions(+), 93 deletions(-)
Title: 'rquery' for 'data.table'
Description: Implements the 'rquery' piped Codd-style query algebra using 'data.table'. This allows
for a high-speed in memory implementation of Codd-style data manipulation tools.
Author: John Mount [aut, cre],
Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>
Diff between rqdatatable versions 0.1.3 dated 2018-07-29 and 0.1.4 dated 2018-08-18
DESCRIPTION | 14 ++--- MD5 | 80 +++++++++++++++--------------- NEWS.md | 5 + R/relop_drop_columns.R | 2 R/relop_extend.R | 4 - R/relop_natural_join.R | 6 +- R/relop_non_sql.R | 6 +- R/relop_null_replace.R | 4 - R/relop_orderby.R | 4 - R/relop_project.R | 2 R/relop_rename_columns.R | 2 R/relop_select_columns.R | 4 - R/relop_select_rows.R | 2 R/relop_set_indicator.R | 4 - R/relop_table_source.R | 2 R/relop_unionall.R | 2 R/rquery_fns.R | 2 README.md | 8 +-- inst/doc/GroupedSampling.html | 4 - inst/doc/logisticexample.R | 2 inst/doc/logisticexample.Rmd | 2 inst/doc/logisticexample.html | 8 +-- man/ex_data_table.Rd | 2 man/ex_data_table.relop_drop_columns.Rd | 2 man/ex_data_table.relop_extend.Rd | 2 man/ex_data_table.relop_natural_join.Rd | 4 - man/ex_data_table.relop_non_sql.Rd | 2 man/ex_data_table.relop_null_replace.Rd | 2 man/ex_data_table.relop_orderby.Rd | 2 man/ex_data_table.relop_project.Rd | 2 man/ex_data_table.relop_rename_columns.Rd | 7 +- man/ex_data_table.relop_select_columns.Rd | 7 +- man/ex_data_table.relop_select_rows.Rd | 2 man/ex_data_table.relop_set_indicator.Rd | 2 man/ex_data_table.relop_table_source.Rd | 2 man/ex_data_table.relop_unionall.Rd | 2 man/reexports.Rd | 52 ------------------- man/rq_df_funciton_node.Rd | 6 +- man/rq_df_grouped_funciton_node.Rd | 2 tests/testthat/test_relop_extend.R | 27 ++++------ vignettes/logisticexample.Rmd | 2 41 files changed, 126 insertions(+), 172 deletions(-)
Title: Simulates LOX Drop Testing
Description: Generates simulated data representing the LOX drop testing
process (also known as impact testing). A simulated process allows for
accelerated study of test behavior. Functions are provided to simulate
trials, test series, and groups of test series. Functions for creating plots
specific to this process are also included. Test attributes and criteria can
be set arbitrarily. This work is not endorsed by or affiliated with NASA.
See "ASTM G86-17, Standard Test Method for Determining Ignition Sensitivity
of Materials to Mechanical Impact in Ambient Liquid Oxygen and Pressurized
Liquid and Gaseous Oxygen Environments" <doi:10.1520/G0086-17>.
Author: Chad Ross [aut, cre]
Maintainer: Chad Ross <chad.ross@gmail.com>
Diff between droptest versions 0.1.1 dated 2018-06-23 and 0.1.2 dated 2018-08-18
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 3 +++ R/dtrials.R | 3 ++- R/ratioplot.R | 2 +- 5 files changed, 13 insertions(+), 9 deletions(-)
Title: Comorbidity Calculations and Tools for ICD-9 and ICD-10 Codes
Description: Calculate comorbidities, Charlson and van Walraven
scores, perform fast and accurate validation, conversion,
manipulation, filtering and comparison of ICD-9 and ICD-10 codes. This
package enables a work flow from raw lists of ICD codes in hospital
databases to comorbidities. ICD-9 and ICD-10 comorbidity mappings
from Quan (Deyo and Elixhauser versions), Elixhauser and AHRQ
included. Common ambiguities and code formats are handled.
Author: Jack O. Wasey [aut, cre, cph] (<https://orcid.org/0000-0003-3738-4637>),
William Murphy [ctb] (Van Walraven scores),
Anobel Odisho [ctb] (Hierarchical Condition Codes),
Vitaly Druker [ctb] (AHRQ CCS),
Ed Lee [ctb] (explain codes in table format),
Kevin Ushey [ctb] (Code adapted for fast factor generation)
Maintainer: Jack O. Wasey <jack@jackwasey.com>
Diff between icd versions 3.2.0 dated 2018-06-07 and 3.2.1 dated 2018-08-18
icd-3.2.0/icd/R/children_alt.R |only icd-3.2.0/icd/R/comorbid_alt.R |only icd-3.2.0/icd/R/ranges_alt.R |only icd-3.2.0/icd/R/sort_alt.R |only icd-3.2.0/icd/cleanup |only icd-3.2.0/icd/configure |only icd-3.2.0/icd/configure.win |only icd-3.2.0/icd/data/mappingNames.rda |only icd-3.2.0/icd/inst/include |only icd-3.2.0/icd/man/categorize.Rd |only icd-3.2.0/icd/man/comorbidMatMul.Rd |only icd-3.2.0/icd/man/factor_split_na.Rd |only icd-3.2.0/icd/man/factor_split_rcpp.Rd |only icd-3.2.0/icd/man/icd10_comorbid_parent_search.Rd |only icd-3.2.0/icd/man/icd10_comorbid_parent_search_cpp.Rd |only icd-3.2.0/icd/man/icd9AddLeadingZeroes_alt_ShortSingle.Rd |only icd-3.2.0/icd/man/icd9AppendMinors.Rd |only icd-3.2.0/icd/man/icd9ChildrenShort_alt_11.Rd |only icd-3.2.0/icd/man/icd9ChildrenShort_alt_Std.Rd |only icd-3.2.0/icd/man/icd9MajMinToShort_alt_Std.Rd |only icd-3.2.0/icd/man/icd9RandomShort.Rd |only icd-3.2.0/icd/man/lookupComorbidByChunkFor.Rd |only icd-3.2.0/icd/man/re_just.Rd |only icd-3.2.0/icd/src/Makevars.in |only icd-3.2.0/icd/src/appendMinor-1e51abe0.o.tmp |only icd-3.2.0/icd/src/appendMinor_alt.cpp |only icd-3.2.0/icd/src/appendMinor_alt.h |only icd-3.2.0/icd/src/comorbid.cpp |only icd-3.2.0/icd/src/comorbidCommon.cpp |only icd-3.2.0/icd/src/comorbidCommon.h |only icd-3.2.0/icd/src/comorbidSetup.cpp |only icd-3.2.0/icd/src/comorbidSetup.h |only icd-3.2.0/icd/src/comorbid_alt.h |only icd-3.2.0/icd/src/config.h.in |only icd-3.2.0/icd/src/config.h.win |only icd-3.2.0/icd/src/convert_alt.cpp |only icd-3.2.0/icd/src/convert_alt.h |only icd-3.2.0/icd/src/fastIntToString_alt_Std.cpp |only icd-3.2.0/icd/src/manip_alt.cpp |only icd-3.2.0/icd/src/manip_alt.h |only icd-3.2.0/icd/src/random.cpp |only icd-3.2.0/icd/src/ranges_alt.cpp |only icd-3.2.0/icd/src/ranges_alt.h |only icd-3.2.0/icd/src/test-cpp_alt.cpp |only icd-3.2.0/icd/tests/tests-deprecated/test-openmp.R |only icd-3.2.0/icd/tests/tests-deprecated/test-spell.R |only icd-3.2.0/icd/tests/testthat/test-openmp.R |only icd-3.2.1/icd/DESCRIPTION | 41 icd-3.2.1/icd/MD5 | 453 +- icd-3.2.1/icd/NAMESPACE | 5 icd-3.2.1/icd/NEWS.md |only icd-3.2.1/icd/R/RcppExports.R | 236 - icd-3.2.1/icd/R/as_char_no_warn.R | 3 icd-3.2.1/icd/R/categorize.R | 155 icd-3.2.1/icd/R/class.R | 84 icd-3.2.1/icd/R/comorbid.R | 6 icd-3.2.1/icd/R/comorbid_pccc.R | 71 icd-3.2.1/icd/R/condense.R | 34 icd-3.2.1/icd/R/convert.R | 2 icd-3.2.1/icd/R/datadocs.R | 265 - icd-3.2.1/icd/R/env.R | 5 icd-3.2.1/icd/R/explain-table.R | 42 icd-3.2.1/icd/R/explain.R | 57 icd-3.2.1/icd/R/factor_nosort.R | 60 icd-3.2.1/icd/R/filter.R | 54 icd-3.2.1/icd/R/generate_pccc.R | 768 ++- icd-3.2.1/icd/R/generate_spelling.R | 36 icd-3.2.1/icd/R/generate_sysdata.R | 41 icd-3.2.1/icd/R/guess.R | 2 icd-3.2.1/icd/R/hcc.R | 28 icd-3.2.1/icd/R/icd-package.R | 2 icd-3.2.1/icd/R/manip.R | 1 icd-3.2.1/icd/R/parse-ahrq-ccs.R | 25 icd-3.2.1/icd/R/parse-icd10.R | 25 icd-3.2.1/icd/R/parse-icd10cm-xml.R | 22 icd-3.2.1/icd/R/parse-rtf.R | 101 icd-3.2.1/icd/R/parse.R | 19 icd-3.2.1/icd/R/real.R | 6 icd-3.2.1/icd/R/score.R | 2 icd-3.2.1/icd/R/util-file.R | 1 icd-3.2.1/icd/R/util-test.R | 67 icd-3.2.1/icd/R/util.R | 9 icd-3.2.1/icd/R/valid.R | 103 icd-3.2.1/icd/R/z-deprecated.R | 6 icd-3.2.1/icd/R/zzz.R | 34 icd-3.2.1/icd/README.md | 38 icd-3.2.1/icd/build/vignette.rds |binary icd-3.2.1/icd/data/icd10_map_pccc_pcs.RData |binary icd-3.2.1/icd/data/icd9_map_pccc_pcs.RData |binary icd-3.2.1/icd/data/mappingNames.R |only icd-3.2.1/icd/inst/WORDLIST |only icd-3.2.1/icd/inst/doc/Charlson_and_other_scores.R | 4 icd-3.2.1/icd/inst/doc/Charlson_and_other_scores.Rmd | 11 icd-3.2.1/icd/inst/doc/Charlson_and_other_scores.html | 212 + icd-3.2.1/icd/inst/doc/Comparing_Comorbidity_Mappings_Vignette.R | 2 icd-3.2.1/icd/inst/doc/Comparing_Comorbidity_Mappings_Vignette.Rmd | 10 icd-3.2.1/icd/inst/doc/Comparing_Comorbidity_Mappings_Vignette.html | 208 + icd-3.2.1/icd/inst/doc/Efficient_calculation_of_comorbidities_from_medical_codes.R | 217 - icd-3.2.1/icd/inst/doc/Efficient_calculation_of_comorbidities_from_medical_codes.Rmd | 351 + icd-3.2.1/icd/inst/doc/Efficient_calculation_of_comorbidities_from_medical_codes.pdf |binary icd-3.2.1/icd/inst/doc/Ranges.R | 6 icd-3.2.1/icd/inst/doc/Ranges.Rmd | 11 icd-3.2.1/icd/inst/doc/Ranges.html | 204 + icd-3.2.1/icd/inst/doc/Using_Hierarchical_Condition_Codes.R | 4 icd-3.2.1/icd/inst/doc/Using_Hierarchical_Condition_Codes.Rmd | 16 icd-3.2.1/icd/inst/doc/Using_Hierarchical_Condition_Codes.html | 213 + icd-3.2.1/icd/inst/doc/icd-10.R | 4 icd-3.2.1/icd/inst/doc/icd-10.Rmd | 13 icd-3.2.1/icd/inst/doc/icd-10.html | 213 + icd-3.2.1/icd/inst/doc/introduction.R | 9 icd-3.2.1/icd/inst/doc/introduction.Rmd | 13 icd-3.2.1/icd/inst/doc/introduction.html | 249 + icd-3.2.1/icd/inst/doc/pccc.R | 4 icd-3.2.1/icd/inst/doc/pccc.Rmd | 13 icd-3.2.1/icd/inst/doc/pccc.html | 219 + icd-3.2.1/icd/man/categorize_simple.Rd |only icd-3.2.1/icd/man/charlson.Rd | 9 icd-3.2.1/icd/man/children.Rd | 5 icd-3.2.1/icd/man/combine.Rd | 12 icd-3.2.1/icd/man/comorbid.Rd | 33 icd-3.2.1/icd/man/comorbid_hcc.Rd | 14 icd-3.2.1/icd/man/comorbid_pccc_dx.Rd | 55 icd-3.2.1/icd/man/condense.Rd | 8 icd-3.2.1/icd/man/convert.Rd | 1 icd-3.2.1/icd/man/count_codes.Rd | 2 icd-3.2.1/icd/man/expand_minor.Rd | 1 icd-3.2.1/icd/man/expand_range.Rd | 12 icd-3.2.1/icd/man/expand_range.icd10cm.Rd | 4 icd-3.2.1/icd/man/explain_code.Rd | 4 icd-3.2.1/icd/man/explain_table.Rd | 3 icd-3.2.1/icd/man/filter_poa.Rd | 7 icd-3.2.1/icd/man/filter_valid.Rd | 5 icd-3.2.1/icd/man/fixSubchapterNa.Rd | 1 icd-3.2.1/icd/man/generate_icd10_sources.Rd | 13 icd-3.2.1/icd/man/generate_random_short_icd9.Rd | 5 icd-3.2.1/icd/man/generate_spelling.Rd | 4 icd-3.2.1/icd/man/get_billable.Rd | 4 icd-3.2.1/icd/man/get_invalid.Rd | 3 icd-3.2.1/icd/man/get_valid.Rd | 1 icd-3.2.1/icd/man/guess_version.Rd | 4 icd-3.2.1/icd/man/icd-package.Rd | 22 icd-3.2.1/icd/man/icd10_comorbid_reduce.Rd | 5 icd-3.2.1/icd/man/icd10_map_ahrq_pcs.Rd | 42 icd-3.2.1/icd/man/icd10cm_extract_sub_chapters.Rd | 1 icd-3.2.1/icd/man/icd10cm_get_all_defined.Rd | 2 icd-3.2.1/icd/man/icd9MajMinToCode.Rd | 3 icd-3.2.1/icd/man/icd9_generate_all_.Rd | 4 icd-3.2.1/icd/man/icd9_is_n_cpp.Rd | 2 icd-3.2.1/icd/man/icd9_map_ahrq.Rd | 29 icd-3.2.1/icd/man/icd9_map_elix.Rd | 41 icd-3.2.1/icd/man/icd9_map_hcc.Rd | 53 icd-3.2.1/icd/man/icd9_map_pccc.Rd | 47 icd-3.2.1/icd/man/icd9_map_quan_deyo.Rd | 50 icd-3.2.1/icd/man/icd9_map_quan_elix.Rd | 33 icd-3.2.1/icd/man/icd9_map_single_ccs.Rd | 46 icd-3.2.1/icd/man/icd9_parse_ahrq_ccs.Rd | 8 icd-3.2.1/icd/man/icd9_parse_leaf_desc_ver.Rd | 1 icd-3.2.1/icd/man/icd9cm_generate_chapters_hierarchy.Rd | 7 icd-3.2.1/icd/man/icd_long_data.Rd | 14 icd-3.2.1/icd/man/is_defined.Rd | 8 icd-3.2.1/icd/man/is_valid.Rd | 1 icd-3.2.1/icd/man/long_to_wide.Rd | 7 icd-3.2.1/icd/man/match_rcpp.Rd | 4 icd-3.2.1/icd/man/names_elix.Rd | 33 icd-3.2.1/icd/man/parse_leaf_desc_icd9cm_v27.Rd | 1 icd-3.2.1/icd/man/parse_leaf_descriptions_all.Rd | 1 icd-3.2.1/icd/man/print.comorbidity_map.Rd | 3 icd-3.2.1/icd/man/refactor_worker.Rd | 8 icd-3.2.1/icd/man/rtf_fetch_year.Rd | 1 icd-3.2.1/icd/man/rtf_filter_excludes.Rd | 1 icd-3.2.1/icd/man/rtf_fix_duplicates.Rd | 1 icd-3.2.1/icd/man/rtf_fix_quirks_2015.Rd | 2 icd-3.2.1/icd/man/rtf_fix_unicode.Rd | 2 icd-3.2.1/icd/man/rtf_generate_fourth_lookup.Rd | 1 icd-3.2.1/icd/man/rtf_lookup_fourth.Rd | 1 icd-3.2.1/icd/man/rtf_main_filter.Rd | 1 icd-3.2.1/icd/man/rtf_parse_fifth_digit_range.Rd | 1 icd-3.2.1/icd/man/rtf_parse_lines.Rd | 1 icd-3.2.1/icd/man/rtf_parse_year.Rd | 9 icd-3.2.1/icd/man/rtf_strip.Rd | 2 icd-3.2.1/icd/man/simplify_map_lex.Rd | 21 icd-3.2.1/icd/man/unzip_to_data_raw.Rd | 4 icd-3.2.1/icd/man/update_everything.Rd | 1 icd-3.2.1/icd/man/van_walraven.Rd | 5 icd-3.2.1/icd/man/wide_to_long.Rd | 1 icd-3.2.1/icd/src/Makevars |only icd-3.2.1/icd/src/Makevars.win | 5 icd-3.2.1/icd/src/Makevars.win64 | 8 icd-3.2.1/icd/src/RcppExports.cpp | 1922 ---------- icd-3.2.1/icd/src/appendMinor.cpp | 9 icd-3.2.1/icd/src/attr.cpp | 1 icd-3.2.1/icd/src/categorize.cpp | 181 icd-3.2.1/icd/src/comorbidIcd10.cpp | 148 icd-3.2.1/icd/src/comorbidMatMul.cpp | 282 - icd-3.2.1/icd/src/comorbidMatMul.h | 45 icd-3.2.1/icd/src/convert.cpp | 1 icd-3.2.1/icd/src/fastIntToString.cpp | 4 icd-3.2.1/icd/src/guess.cpp | 1 icd-3.2.1/icd/src/guess.h | 1 icd-3.2.1/icd/src/icd_types.h | 6 icd-3.2.1/icd/src/is.cpp | 4 icd-3.2.1/icd/src/local.h | 25 icd-3.2.1/icd/src/longToWide.cpp | 1 icd-3.2.1/icd/src/manip.cpp | 1 icd-3.2.1/icd/src/manip.h | 1 icd-3.2.1/icd/src/ranges.cpp | 1 icd-3.2.1/icd/src/registration.c | 154 icd-3.2.1/icd/src/test-cpp.cpp | 64 icd-3.2.1/icd/src/util.cpp | 103 icd-3.2.1/icd/src/util.h | 30 icd-3.2.1/icd/tests/test-build-data.R | 2 icd-3.2.1/icd/tests/test-deprecated.R | 2 icd-3.2.1/icd/tests/test-slow.R | 2 icd-3.2.1/icd/tests/tests-build-data/test-sas.R | 3 icd-3.2.1/icd/tests/tests-deprecated/helper-base.R | 8 icd-3.2.1/icd/tests/tests-deprecated/test-class.R | 82 icd-3.2.1/icd/tests/tests-deprecated/test-comorbid-maps-icd10.R | 112 icd-3.2.1/icd/tests/tests-deprecated/test-comorbid-maps-icd9.R | 71 icd-3.2.1/icd/tests/tests-deprecated/test-condense.R | 313 + icd-3.2.1/icd/tests/tests-deprecated/test-convert.R | 128 icd-3.2.1/icd/tests/tests-deprecated/test-github133.R | 3 icd-3.2.1/icd/tests/tests-deprecated/test-longtowide.R | 2 icd-3.2.1/icd/tests/tests-deprecated/test-sas.R | 3 icd-3.2.1/icd/tests/tests-deprecated/test-score.R | 11 icd-3.2.1/icd/tests/tests-deprecated/test-util.R | 10 icd-3.2.1/icd/tests/tests-deprecated/test-valid.R | 18 icd-3.2.1/icd/tests/tests-slow/test-refactor-slow.R | 7 icd-3.2.1/icd/tests/testthat/helper-base.R | 5 icd-3.2.1/icd/tests/testthat/test-categorize.R |only icd-3.2.1/icd/tests/testthat/test-ccs-calcs.R | 71 icd-3.2.1/icd/tests/testthat/test-comorbid-calcs-icd10.R | 90 icd-3.2.1/icd/tests/testthat/test-comorbid-calcs-icd9.R | 53 icd-3.2.1/icd/tests/testthat/test-comorbid-maps-icd10.R | 120 icd-3.2.1/icd/tests/testthat/test-comorbid-maps-icd9.R | 55 icd-3.2.1/icd/tests/testthat/test-condense.R | 79 icd-3.2.1/icd/tests/testthat/test-convert.R | 214 - icd-3.2.1/icd/tests/testthat/test-hcc.R | 40 icd-3.2.1/icd/tests/testthat/test-pccc.R |only icd-3.2.1/icd/tests/testthat/test-refactor.R | 51 icd-3.2.1/icd/tests/testthat/test-score.R | 129 icd-3.2.1/icd/tests/testthat/test-spell.R | 2 icd-3.2.1/icd/tests/testthat/test-util.R | 10 icd-3.2.1/icd/tests/testthat/test-valid-icd10.R | 12 icd-3.2.1/icd/tests/testthat/test-valid.R | 115 icd-3.2.1/icd/vignettes/Charlson_and_other_scores.Rmd | 11 icd-3.2.1/icd/vignettes/Comparing_Comorbidity_Mappings_Vignette.Rmd | 10 icd-3.2.1/icd/vignettes/Efficient_calculation_of_comorbidities_from_medical_codes.Rmd | 351 + icd-3.2.1/icd/vignettes/Ranges.Rmd | 11 icd-3.2.1/icd/vignettes/Using_Hierarchical_Condition_Codes.Rmd | 16 icd-3.2.1/icd/vignettes/all.bib | 1001 +++-- icd-3.2.1/icd/vignettes/icd-10.Rmd | 13 icd-3.2.1/icd/vignettes/icd.bib | 480 +- icd-3.2.1/icd/vignettes/introduction.Rmd | 13 icd-3.2.1/icd/vignettes/pccc.Rmd | 13 254 files changed, 6222 insertions(+), 6374 deletions(-)
Title: Urban Dictionary API Client
Description: A client for the Urban Dictionary <http://www.urbandictionary.com/> API.
Author: Oliver Keyes [aut, cre]
Maintainer: Oliver Keyes <ironholds@gmail.com>
Diff between udapi versions 0.1.2 dated 2018-08-01 and 0.1.3 dated 2018-08-18
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS | 6 +++++- R/utils.R | 6 ++++++ 4 files changed, 18 insertions(+), 8 deletions(-)
Title: Statistical Shape Analysis
Description: Routines for the statistical analysis of landmark
shapes, including Procrustes analysis, graphical displays, principal
components analysis, permutation and bootstrap tests, thin-plate
spline transformation grids and comparing covariance matrices.
See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis,
with Applications in R (2nd Edition), John Wiley and Sons.
Author: Ian L. Dryden
Maintainer: Ian Dryden <ian.dryden@nottingham.ac.uk>
Diff between shapes versions 1.2.3 dated 2017-11-18 and 1.2.4 dated 2018-08-18
CHANGES | 9 DESCRIPTION | 10 MD5 | 124 ++-- NAMESPACE | 6 R/shapes.R | 1180 +++++++++++++++++++++++++++++++++++++++++++++ data/apes.rda |binary data/brains.rda |binary data/cortical.rda |binary data/digit3.dat.rda |binary data/dna.dat.rda |binary data/gels.rda |binary data/gorf.dat.rda |binary data/gorm.dat.rda |binary data/humanmove.rda |binary data/macaques.rda |binary data/macf.dat.rda |binary data/macm.dat.rda |binary data/mice.rda |binary data/nsa.rda |binary data/panf.dat.rda |binary data/panm.dat.rda |binary data/pongof.dat.rda |binary data/pongom.dat.rda |binary data/protein.rda |binary data/qcet2.dat.rda |binary data/qlet2.dat.rda |binary data/qset2.dat.rda |binary data/rats.rda |binary data/sand.rda |binary data/schizophrenia.dat.rda |binary data/schizophrenia.rda |binary data/shells.rda |binary data/sooty.dat.rda |binary data/sooty.rda |binary data/steroids.rda |binary man/apes.Rd | 4 man/bookstein2d.Rd | 5 man/centroid.size.Rd | 4 man/digit3.dat.Rd | 4 man/frechet.Rd | 6 man/gorf.dat.Rd | 4 man/gorm.dat.Rd | 5 man/groupstack.Rd | 6 man/macaques.Rd | 6 man/macf.dat.Rd | 4 man/macm.dat.Rd | 4 man/pns.Rd |only man/pns4pc.Rd |only man/procGPA.Rd | 8 man/procOPA.Rd | 4 man/procWGPA.Rd | 6 man/procdist.Rd | 3 man/qcet2.dat.Rd | 4 man/qlet2.dat.Rd | 4 man/qset2.dat.Rd | 4 man/resampletest.Rd | 8 man/shapepca.Rd | 4 man/shapes-internal.Rd | 9 man/shapes.cva.Rd | 6 man/shapes3d.Rd | 4 man/sooty.Rd | 5 man/testmeanshapes.Rd | 8 man/tpsgrid.Rd | 4 man/transformations.Rd | 6 64 files changed, 1333 insertions(+), 135 deletions(-)
Title: Fit, Simulate and Diagnose Models for Network Evolution Based on
Exponential-Family Random Graph Models
Description: An integrated set of extensions to the 'ergm' package to analyze and simulate network evolution based on exponential-family random graph models (ERGM). 'tergm' is a part of the 'statnet' suite of packages for network analysis.
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>),
Mark S. Handcock [aut, ths],
David R. Hunter [ctb],
Steven M. Goodreau [ctb, ths],
Martina Morris [ctb, ths],
Nicole Bohme Carnegie [ctb],
Carter T. Butts [ctb],
Ayn Leslie-Cook [ctb],
Skye Bender-deMoll [ctb],
Li Wang [ctb],
Kirk Li [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>
Diff between tergm versions 3.4.1 dated 2017-09-12 and 3.5.2 dated 2018-08-18
tergm-3.4.1/tergm/inst/doc/STERGM.Snw |only tergm-3.4.1/tergm/man/coef.stergm.Rd |only tergm-3.4.1/tergm/man/print.stergm.Rd |only tergm-3.4.1/tergm/man/stergm.getMCMCsample.Rd |only tergm-3.4.1/tergm/man/summary.statistics.networkDynamic.Rd |only tergm-3.4.1/tergm/tests/requireNamespaceTest.R |only tergm-3.4.1/tergm/vignettes/STERGM.Snw |only tergm-3.5.2/tergm/BUGS | 2 tergm-3.5.2/tergm/DESCRIPTION | 36 tergm-3.5.2/tergm/LICENSE | 2 tergm-3.5.2/tergm/MD5 | 175 +- tergm-3.5.2/tergm/NAMESPACE | 143 -- tergm-3.5.2/tergm/R/InitConstraint.R | 36 tergm-3.5.2/tergm/R/InitErgmTerm.duration.R | 2 tergm-3.5.2/tergm/R/InitMHP.DynMLE.R | 66 - tergm-3.5.2/tergm/R/InitMHP.DynMLE.blockdiag.R | 92 - tergm-3.5.2/tergm/R/InitMHP.DynMoME.R | 30 tergm-3.5.2/tergm/R/coef.stergm.R | 20 tergm-3.5.2/tergm/R/combine.networks.R | 12 tergm-3.5.2/tergm/R/control.logLik.stergm.R | 2 tergm-3.5.2/tergm/R/control.simulate.stergm.R | 67 - tergm-3.5.2/tergm/R/control.stergm.R | 306 ++++ tergm-3.5.2/tergm/R/ergm.godfather.R | 141 ++ tergm-3.5.2/tergm/R/gof.stergm.R | 63 tergm-3.5.2/tergm/R/impute.network.list.R | 132 -- tergm-3.5.2/tergm/R/is.lasttoggle.R | 12 tergm-3.5.2/tergm/R/logLik.stergm.R | 41 tergm-3.5.2/tergm/R/mcmc.diagnostics.stergm.R | 66 - tergm-3.5.2/tergm/R/print.stergm.R | 9 tergm-3.5.2/tergm/R/simulate.stergm.R | 282 +++- tergm-3.5.2/tergm/R/stergm.CMLE.R | 26 tergm-3.5.2/tergm/R/stergm.EGMME.GD.R | 12 tergm-3.5.2/tergm/R/stergm.EGMME.R | 36 tergm-3.5.2/tergm/R/stergm.EGMME.SA.R | 34 tergm-3.5.2/tergm/R/stergm.EGMME.initialfit.R | 24 tergm-3.5.2/tergm/R/stergm.R | 176 ++ tergm-3.5.2/tergm/R/stergm.getMCMCsample.R | 103 + tergm-3.5.2/tergm/R/stergm.utils.R | 8 tergm-3.5.2/tergm/R/summary.statistics.networkDynamic.R | 48 tergm-3.5.2/tergm/R/summary.stergm.R | 13 tergm-3.5.2/tergm/R/tergm-deprecated.R |only tergm-3.5.2/tergm/R/zzz.R | 103 - tergm-3.5.2/tergm/build/vignette.rds |binary tergm-3.5.2/tergm/inst/CITATION | 71 - tergm-3.5.2/tergm/inst/NEWS.Rd | 45 tergm-3.5.2/tergm/inst/doc/STERGM.R | 230 --- tergm-3.5.2/tergm/inst/doc/STERGM.Rnw |only tergm-3.5.2/tergm/inst/doc/STERGM.pdf |binary tergm-3.5.2/tergm/man/control.simulate.stergm.Rd | 170 +- tergm-3.5.2/tergm/man/control.stergm.Rd | 856 ++++++------- tergm-3.5.2/tergm/man/control.tergm.godfather.Rd |only tergm-3.5.2/tergm/man/ergm-constraints.Rd | 6 tergm-3.5.2/tergm/man/ergm-terms.Rd | 4 tergm-3.5.2/tergm/man/gof.stergm.Rd | 79 - tergm-3.5.2/tergm/man/impute.network.list.Rd | 119 - tergm-3.5.2/tergm/man/logLik.stergm.Rd | 109 - tergm-3.5.2/tergm/man/mcmc.diagnostics.stergm.Rd | 143 -- tergm-3.5.2/tergm/man/simulate.stergm.Rd | 542 +++----- tergm-3.5.2/tergm/man/stergm.Rd | 358 ++--- tergm-3.5.2/tergm/man/stergm_MCMC_sample.Rd |only tergm-3.5.2/tergm/man/summary_formula.networkDynamic.Rd |only tergm-3.5.2/tergm/man/tergm-deprecated.Rd |only tergm-3.5.2/tergm/man/tergm-internal.Rd | 2 tergm-3.5.2/tergm/man/tergm-package.Rd | 2 tergm-3.5.2/tergm/man/tergm.godfather.Rd | 148 +- tergm-3.5.2/tergm/man/tergm_MH_proposals.Rd | 90 - tergm-3.5.2/tergm/src/DynSA.c | 2 tergm-3.5.2/tergm/src/DynSA.h | 2 tergm-3.5.2/tergm/src/MCMCDyn.c | 2 tergm-3.5.2/tergm/src/MCMCDyn.h | 2 tergm-3.5.2/tergm/src/MHproposals_DynMLE.c | 2 tergm-3.5.2/tergm/src/MHproposals_DynMLE.h | 2 tergm-3.5.2/tergm/src/MHproposals_DynMLE_block.c | 2 tergm-3.5.2/tergm/src/MHproposals_DynMLE_block.h | 2 tergm-3.5.2/tergm/src/MHproposals_DynMoME.c | 2 tergm-3.5.2/tergm/src/MHproposals_DynMoME.h | 2 tergm-3.5.2/tergm/src/changestats_duration.c | 2 tergm-3.5.2/tergm/src/changestats_duration.h | 2 tergm-3.5.2/tergm/src/godfather.c | 2 tergm-3.5.2/tergm/src/godfather.h | 2 tergm-3.5.2/tergm/src/include_stubs.c | 2 tergm-3.5.2/tergm/src/init.c | 2 tergm-3.5.2/tergm/tests/combine.networks.R | 2 tergm-3.5.2/tergm/tests/degree.mean.age.R | 2 tergm-3.5.2/tergm/tests/dynamic_EGMME.R | 2 tergm-3.5.2/tergm/tests/dynamic_EGMME.simple.R | 2 tergm-3.5.2/tergm/tests/dynamic_MLE.R | 14 tergm-3.5.2/tergm/tests/dynamic_MLE.Rout |only tergm-3.5.2/tergm/tests/dynamic_MLE_2.R | 2 tergm-3.5.2/tergm/tests/dynamic_MLE_blockdiag.R | 2 tergm-3.5.2/tergm/tests/dynamic_MLE_blockdiag.bipartite.R | 2 tergm-3.5.2/tergm/tests/sim_gf_sum.R | 2 tergm-3.5.2/tergm/tests/simulate_networkDynamic.R | 28 tergm-3.5.2/tergm/tests/tergm_offset_tests.R | 6 tergm-3.5.2/tergm/tests/tergm_parallel.R | 8 tergm-3.5.2/tergm/vignettes/STERGM.Rnw |only 96 files changed, 3148 insertions(+), 2250 deletions(-)
Title: 'MatLab'-Style Modeling of Optimization Problems
Description: 'MatLab'-Style Modeling of Optimization Problems with 'R'. This package provides a set of convenience functions to transform a 'MatLab'-style optimization modeling structure to its 'ROI' equivalent.
Author: Ronald Hochreiter [aut, cre]
Maintainer: Ronald Hochreiter <ron@hochreiter.net>
Diff between modopt.matlab versions 1.0-1 dated 2018-08-11 and 1.0-2 dated 2018-08-18
DESCRIPTION | 10 +++++----- LICENSE |only MD5 | 8 +++++--- NEWS |only R/quadprog.R | 3 ++- README.md | 38 +++++++++++++++++++++++++++++++------- 6 files changed, 43 insertions(+), 16 deletions(-)
Title: Multiplicative AR(1) with Seasonal Processes
Description: Multiplicative AR(1) with Seasonal is a stochastic
process model built on top of AR(1). The package provides the
following procedures for MAR(1)S processes: fit, compose, decompose,
advanced simulate and predict.
Author: Andrey Paramonov
Maintainer: Andrey Paramonov <paramon@acdlabs.ru>
Diff between mar1s versions 2.1 dated 2015-09-11 and 2.1.1 dated 2018-08-18
mar1s-2.1.1/mar1s/COPYING | 1348 +++++++++++++++---------------- mar1s-2.1.1/mar1s/DESCRIPTION | 12 mar1s-2.1.1/mar1s/MD5 | 45 - mar1s-2.1.1/mar1s/NAMESPACE | 33 mar1s-2.1.1/mar1s/R/compose.ar1.R | 36 mar1s-2.1.1/mar1s/R/compose.mar1s.R | 40 mar1s-2.1.1/mar1s/R/decompose.ar1.R | 38 mar1s-2.1.1/mar1s/R/decompose.mar1s.R | 46 - mar1s-2.1.1/mar1s/R/fit.mar1s.R | 54 - mar1s-2.1.1/mar1s/R/mar1s-internal.R | 112 +- mar1s-2.1.1/mar1s/R/predict.mar1s.R | 18 mar1s-2.1.1/mar1s/R/seasonal.ave.R | 16 mar1s-2.1.1/mar1s/R/seasonal.smooth.R | 22 mar1s-2.1.1/mar1s/R/sim.mar1s.R | 38 mar1s-2.1.1/mar1s/man/compose.ar1.Rd | 220 ++--- mar1s-2.1.1/mar1s/man/compose.mar1s.Rd | 264 +++--- mar1s-2.1.1/mar1s/man/fit.mar1s.Rd | 148 +-- mar1s-2.1.1/mar1s/man/forest.fire.Rd | 42 mar1s-2.1.1/mar1s/man/mar1s-internal.Rd | 12 mar1s-2.1.1/mar1s/man/nesterov.index.Rd | 62 - mar1s-2.1.1/mar1s/man/seasonal.ave.Rd | 120 +- mar1s-2.1.1/mar1s/man/seasonal.smooth.Rd | 186 ++-- mar1s-2.1.1/mar1s/man/sim.mar1s.Rd | 186 ++-- mar1s-2.1/mar1s/man/mar1s-package.Rd |only 24 files changed, 1549 insertions(+), 1549 deletions(-)
Title: Truncated Gaussian Regression Models
Description: Estimation of models for truncated Gaussian variables by maximum likelihood.
Author: Yves Croissant [aut, cre],
Achim Zeileis [aut]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Diff between truncreg versions 0.2-4 dated 2016-08-03 and 0.2-5 dated 2018-08-18
DESCRIPTION | 12 - MD5 | 6 R/truncreg.R | 428 ++++++++++++++++++++++++++++---------------------------- man/truncreg.Rd | 2 4 files changed, 225 insertions(+), 223 deletions(-)
Title: Empirical Likelihood Ratio Test for Two Samples with Censored
Data
Description: Calculates the p-value for a mean-type hypothesis (or multiple mean-type hypotheses) based on two samples with censored data.
Author: William H. Barton <williamhbarton1@gmail.com> under the supervision of Dr. Mai Zhou <mai@ms.uky.edu>
Maintainer: William H. Barton <williamhbarton1@gmail.com>
Diff between emplik2 versions 1.20 dated 2015-02-04 and 1.21 dated 2018-08-18
DESCRIPTION | 9 +++++---- MD5 | 4 ++-- NAMESPACE | 2 +- 3 files changed, 8 insertions(+), 7 deletions(-)
Title: Bayesian Additive Regression Trees
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information on BART, see Chipman, George and McCulloch (2010) <doi:10.1214/09-AOAS285> and Sparapani, Logan, McCulloch and Laud (2016) <doi:10.1002/sim.6893>.
Author: Robert McCulloch [aut],
Rodney Sparapani [aut, cre],
Robert Gramacy [aut],
Charles Spanbauer [aut],
Matthew Pratola [aut],
Bill Venables [ctb],
Brian Ripley [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>
Diff between BART versions 1.8 dated 2018-06-30 and 1.9 dated 2018-08-18
DESCRIPTION | 8 ++--- MD5 | 66 +++++++++++++++++++++++++-------------------- NAMESPACE | 6 ++-- NEWS | 11 +++++++ R/abart.R |only R/gbart.R | 31 +++++++++++++++++++++ R/mc.abart.R |only R/srstepwise.R |only build/vignette.rds |binary data/ACTG175.rda |binary data/arq.rda |binary data/bladder.rda |binary data/lung.rda |binary data/transplant.rda |binary data/xdm20.test.rda |binary data/xdm20.train.rda |binary data/ydm20.test.rda |binary data/ydm20.train.rda |binary demo/00Index | 4 ++ demo/cube.abart.R |only demo/cube.gbart.R |only demo/missing.gbart.R |only demo/test.srstepwise.R |only inst/cxx-ex/rn.h | 4 +- inst/doc/bincat.pdf |binary inst/doc/computing.pdf |binary inst/doc/cont1.pdf |binary inst/doc/cont2.pdf |binary inst/doc/hwbart.pdf |binary inst/doc/time-to-event.pdf |binary man/abart.Rd |only man/gbart.Rd | 9 +++++- man/predict.recurbart.Rd | 7 ++-- man/recur.bart.Rd | 19 ++++++------ man/srstepwise.Rd |only src/cabart.cpp |only src/cgbart.cpp | 55 +++++++++++++++++++++++++++++++++++++ src/init.c | 2 + src/rn.h | 4 +- 39 files changed, 175 insertions(+), 51 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-03-31 0.1.3.9
2017-03-28 0.1.3.8
2016-10-28 0.1.3.5
Title: Miscellaneous Functions Used at 'Numeract LLC'
Description: Contains functions useful for debugging, set operations on vectors,
and 'UTC' date and time functionality. It adds a few vector manipulation
verbs to 'purrr' and 'dplyr' packages. It can also generate an R file to
install and update packages to simplify deployment into production. The
functions were developed at the data science firm 'Numeract LLC' and are
used in several packages and projects.
Author: Mike Badescu [aut, cre],
Ana-Maria Niculescu [aut],
Teodor Ciuraru [ctb],
Numeract LLC [cph]
Maintainer: Mike Badescu <mike.badescu@numeract.com>
Diff between Nmisc versions 0.3.2 dated 2018-07-25 and 0.3.3 dated 2018-08-18
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 6 +++++- README.md | 1 + tests/testthat/test_project_packages.R | 24 +++++++++++++++++------- 5 files changed, 31 insertions(+), 16 deletions(-)
Title: Kernel Based Regression Models
Description: Implements several methods for testing the variance component parameter in regression models that contain kernel-based random effects, including a maximum of adjusted scores test. Several kernels are supported, including a profile hidden Markov model mutual information kernel for protein sequence.
Author: Youyi Fong [cre],
Saheli Datta [aut],
Krisztian Sebestyen [aut],
Steve Park [ctb],
Dave Geyer [ctb]
Maintainer: Youyi Fong <youyifong@gmail.com>
Diff between krm versions 2018.1-24 dated 2018-01-24 and 2018.8-17 dated 2018-08-18
ChangeLog | 4 +++- DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NAMESPACE | 2 +- R/seq_read_write.R | 6 +++--- tests/doRUnit.R | 19 ++++++++++--------- 6 files changed, 25 insertions(+), 22 deletions(-)
Title: Stratified Heterogeneity Measure, Dominant Driving Force
Detection, Interaction Relationship Investigation
Description: Spatial stratified heterogeneity (SSH), referring to the within strata are more similar than the between strata, a model with global parameters would be confounded if input data is SSH. Note that the "spatial" here can be either geospatial or the space in mathematical meaning. Geographical detector is a novel tool to investigate SSH: (1) measure and find SSH of a variable Y; (2) test the power of determinant X of a dependent variable Y according to the consistency between their spatial distributions; and (3) investigate the interaction between two explanatory variables X1 and X2 to a dependent variable Y (Wang et al 2014 <doi:10.1080/13658810802443457>, Wang, Zhang, and Fu 2016 <doi:10.1016/j.ecolind.2016.02.052>).
Author: Chengdong Xu [aut, cre],
Jinfeng Wang [aut],
Yue Hou [ctb],
Qian Yin [ctb]
Maintainer: Chengdong Xu <xucd@Lreis.ac.cn>
Diff between geodetector versions 1.0-1 dated 2018-07-31 and 1.0-2 dated 2018-08-18
geodetector-1.0-1/geodetector/data/DiseaseData.rda |only geodetector-1.0-1/geodetector/data/Elevation.rda |only geodetector-1.0-1/geodetector/data/SoilType.rda |only geodetector-1.0-1/geodetector/data/Watershed.rda |only geodetector-1.0-1/geodetector/man/DiseaseData.Rd |only geodetector-1.0-1/geodetector/man/Elevation.Rd |only geodetector-1.0-1/geodetector/man/SoilType.Rd |only geodetector-1.0-1/geodetector/man/Watershed.Rd |only geodetector-1.0-2/geodetector/DESCRIPTION | 6 geodetector-1.0-2/geodetector/MD5 | 56 - geodetector-1.0-2/geodetector/NEWS.md | 12 geodetector-1.0-2/geodetector/R/ecological_detector.r | 180 ++-- geodetector-1.0-2/geodetector/R/factor_detector.r | 168 ++-- geodetector-1.0-2/geodetector/R/interaction_detector.r | 200 ++--- geodetector-1.0-2/geodetector/R/maps2dataframe.r | 29 geodetector-1.0-2/geodetector/R/risk_detector.r | 206 ++--- geodetector-1.0-2/geodetector/build/vignette.rds |binary geodetector-1.0-2/geodetector/data/CollectData.rda |binary geodetector-1.0-2/geodetector/data/DiseaseData_shp.rda |only geodetector-1.0-2/geodetector/data/Elevation_shp.rda |only geodetector-1.0-2/geodetector/data/SoilType_shp.rda |only geodetector-1.0-2/geodetector/data/Watershed_shp.rda |only geodetector-1.0-2/geodetector/inst/doc/geodetector.R | 89 +- geodetector-1.0-2/geodetector/inst/doc/geodetector.Rmd | 173 ++-- geodetector-1.0-2/geodetector/inst/doc/geodetector.html | 521 +++++++------- geodetector-1.0-2/geodetector/man/CollectData.Rd | 2 geodetector-1.0-2/geodetector/man/DiseaseData_shp.Rd |only geodetector-1.0-2/geodetector/man/Elevation_shp.Rd |only geodetector-1.0-2/geodetector/man/SoilType_shp.Rd |only geodetector-1.0-2/geodetector/man/Watershed_shp.Rd |only geodetector-1.0-2/geodetector/man/ecological_detector.Rd | 4 geodetector-1.0-2/geodetector/man/factor_detector.Rd | 4 geodetector-1.0-2/geodetector/man/interaction_detector.Rd | 6 geodetector-1.0-2/geodetector/man/maps2dataframe.Rd | 29 geodetector-1.0-2/geodetector/man/risk_detector.Rd | 4 geodetector-1.0-2/geodetector/vignettes/figs/fig-1.jpg |binary geodetector-1.0-2/geodetector/vignettes/geodetector.Rmd | 173 ++-- 37 files changed, 985 insertions(+), 877 deletions(-)