[Rsiena-commits] r225 - /
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Tue Mar 12 21:49:44 CET 2013
Author: tomsnijders
Date: 2013-03-12 21:49:44 +0100 (Tue, 12 Mar 2013)
New Revision: 225
Removed:
DESCRIPTION
INDEX
MD5
Meta/
NAMESPACE
R/
Thumbs.db
data/
doc/
examples/
help/
html/
ilcampo.gif
libs/
scripts/
sienascript
Log:
Removed files and directories that were put in by mistake at revision 220 by John.
Deleted: DESCRIPTION
===================================================================
--- DESCRIPTION 2013-02-14 07:24:12 UTC (rev 224)
+++ DESCRIPTION 2013-03-12 20:49:44 UTC (rev 225)
@@ -1,25 +0,0 @@
-Package: RSienaTest
-Type: Package
-Title: Siena - Simulation Investigation for Empirical Network Analysis
-Version: 1.0.12.193
-Date: 2012-01-17
-Author: Various
-Depends: R (>= 2.10.0)
-Imports: Matrix
-Suggests: tcltk, snow, rlecuyer, network, codetools, lattice, MASS,
- parallel, sna, igraph, xtable, tools
-SystemRequirements: GNU make, tcl/tk 8.5, Tktable
-Maintainer: RSiena developers <rsiena at stats.ox.ac.uk>
-Description: Fits models to longitudinal networks
-License: GPL (>=2)
-LazyLoad: yes
-LazyData: yes
-BuildResaveData: no
-URL: http://www.stats.ox.ac.uk/~snijders/siena
-Repository: R-Forge
-Repository/R-Forge/Project: rsiena
-Repository/R-Forge/Revision: 193
-Date/Publication: 2012-01-17 16:26:52
-Packaged: 2012-01-17 22:13:01 UTC; rforge
-Built: R 2.14.1; x86_64-pc-mingw32; 2012-01-18 23:26:08 UTC; windows
-Archs: i386, x64
Deleted: INDEX
===================================================================
--- INDEX 2013-02-14 07:24:12 UTC (rev 224)
+++ INDEX 2013-03-12 20:49:44 UTC (rev 225)
@@ -1,82 +0,0 @@
-GeodesicDistribution Supplemental functions to sienaGOF
-RSiena-package Simulation Investigation for Empirical Network
- Analysis
-algorithms Function to fit 'Siena' model using alternative
- algorithms.
-allEffects Internal data frame used to construct effect
- objects.
-bayes A function for fitting Bayesian models
-coCovar Function to create a constant covariate object
-coDyadCovar Function to create a constant dyadic covariate
- object.
-edit.sienaEffects Allow editing of a sienaEffects object if a gui
- is available.
-effectsDocumentation Function to create a table of documentation of
- effect names, short names etc.
-getEffects Function to create a Siena effects object
-includeEffects Function to include effects in a Siena model
-includeInteraction Function to create user-specified interactions
- for a Siena model.
-includeTimeDummy Functions to include time dummy effects in a
- Siena model
-installGui Obsolete function to start up the installer for
- the standalone Gui.
-iwlsm Function to fit an iterated weighted least
- squares model.
-maxlikefn A ML version of FRAN
-plot.sienaTimeTest Functions to plot assessment of time
- heterogeneity of parameters
-print.sienaEffects Print methods for Siena effects objects
-print.sienaMeta Methods for processing sienaMeta objects
-print01Report Function to produce the Siena01 report from R
- objects
-profileLikelihoods Function to calculate profile likelihood for a
- Siena model
-s50 Network data: excerpt from 'Teenage Friends and
- Lifestyle Study' data.
-s501 Network 1 data: excerpt from 'Teenage Friends
- and Lifestyle Study' data.
-s502 Network 2 data: excerpt from 'Teenage Friends
- and Lifestyle Study' data.
-s503 Network 3 data: excerpt from 'Teenage Friends
- and Lifestyle Study' data.
-s50a Alcohol use data: excerpt from 'Teenage Friends
- and Lifestyle Study' data
-setEffect Function to set various columns in an effects
- object in a Siena model
-siena01Gui User interface
-siena07 Function to estimate parameters in a Siena
- model
-siena08 Function to perform a meta analysis of a
- collection of Siena fits.
-sienaCompositionChange
- Functions to create a Siena composition change
- object
-sienaDataConstraint Function to change the values of the
- constraints between networks.
-sienaDataCreate Function to create a Siena data object
-sienaDataCreateFromSession
- Creates a Siena data object from a Siena
- session file
-sienaFit.methods Methods for processing sienaFit objects
-sienaGOF Functions to assess goodness of fit for SAOMs
-sienaGroupCreate Function to group together several Siena data
- objects
-sienaModelCreate Function to create an object containing the
- algorithm specifications for parameter
- estimation in RSiena
-sienaModelOptions Function to allow entry of model options
-sienaNet Function to create a Siena network object
-sienaNodeSet Function to create a node set
-sienaTimeTest Functions to assess and account for time
- heterogeneity of parameters
-simstats0c Versions of FRAN
-summary.iwlsm Summary method for Iterative Weighted Least
- Squares Models
-tmp3 van de Bunt's Freshman dataset, time point 3
-tmp4 van de Bunt's Freshman dataset, time point 4
-updateTheta Function to update the initial values of theta.
-varCovar Function to create a changing covariate object.
-varDyadCovar Function to create a changing dyadic covariate
- object.
-xtable Access xtable in package xtable
Deleted: MD5
===================================================================
--- MD5 2013-02-14 07:24:12 UTC (rev 224)
+++ MD5 2013-03-12 20:49:44 UTC (rev 225)
@@ -1,112 +0,0 @@
-45cf9c766462ab416ee46fbf8e9b02aa *DESCRIPTION
-529cb2b8f72341f3a0bff7f96f9a7932 *INDEX
-1f134d2eadb90e6b3bf0e7833c1c1ae8 *Meta/Rd.rds
-68e291385b8b5e8d2a32013ce9af1d76 *Meta/data.rds
-0e244ed0eaafba30c2666241055d6b91 *Meta/hsearch.rds
-7ea79548762d27db115ccfc4fb7f9523 *Meta/links.rds
-b72ce5210e61414de3e349a4f7fe8d1c *Meta/nsInfo.rds
-a9b2ba634486c363d1d9244c47a2ddc1 *Meta/package.rds
-c3cb04d5b494525bc7ac01c8a7c34acc *NAMESPACE
-240d28d145138a75831809e31a480bad *R/RSienaTest
-1d783d552a0fd6c5f1a5218f31e3de4c *R/RSienaTest.rdb
-d5bb94023b3310933ecb7181dbc4000a *R/RSienaTest.rdx
-6855c831c28964013e2c175d6724d079 *data/Rdata.rdb
-77d1e17b6dc6f049635440edf2ee7d38 *data/Rdata.rds
-cb087874d990d50f15bfa6b7d5813947 *data/Rdata.rdx
-a8a143c936f1109b86bc4db1e52d8724 *doc/RSiena_Manual.pdf
-6affdda35a718e643ee13f32eebd90ef *doc/effects.pdf
-315ad4e328fb25c27af3cb1c48fb086e *doc/index.html
-37a1309c4bf2f08aa5c6020594ff1836 *examples/CBE1.DAT
-56a81a6d10a8374f950f1d88906d4735 *examples/CBE3.DAT
-f2e141825d79fed3fc52708e49800115 *examples/CBE4.DAT
-e497a747d99c9ea05af3f0811787163f *examples/CBE6.DAT
-ea1360041a9a3412b22ec57e5b6bd64e *examples/EIES1.dat
-74d33a2146fa810b4942d47244be1418 *examples/EIES2.dat
-61d3dc433530a3f4a392eaa58d51bfe2 *examples/EIESATD.dat
-c2311fda9dc089929771d7e85f82fcd8 *examples/EIESATT.dat
-af3b46da3e29890379e4b2186c453e94 *examples/FR0.DAT
-31f547be0dd893a4a9e3fb38966714cd *examples/FR1.DAT
-7790700d8d97d2c510843c171de3743b *examples/FR2.DAT
-67f7f8566d3e2a409d50dc83fc4b56df *examples/FR3.DAT
-8f4273b5dd0783212cc7061a963509b7 *examples/FR4.DAT
-663ce4121dc6a240c2e03586e3f664e7 *examples/FR5.DAT
-1c6c560af93b7a2082cefc77308ef6a7 *examples/FR6.DAT
-e21fb63ccfd685ed1ad8a4296aa374a5 *examples/HN34_1.DAT
-cb78e45cb7fd6b1e9ee6941d556c4b6b *examples/HN34_3.DAT
-b23c02e59b02fd700604dca4c36294d7 *examples/HN34_4.DAT
-b70c131cc4aa8d14915e0583845f392a *examples/HN34_6.DAT
-0d142472f8ce9776a9e282e78be456e7 *examples/N34_1.DAT
-9da4df57d47d43594d63dd98a59e5059 *examples/N34_3.DAT
-44231424fd96ba2bc92b52609609bc1e *examples/N34_4.DAT
-f6bcfe9de1961981e8c01415123277f2 *examples/N34_6.DAT
-642d93b8841d271def2e7e730cdf8572 *examples/VARS.DAT
-5acf6fcfdb89e5a7359f2bf1c7b886e0 *examples/VRND32T0.DAT
-2cb87f2627e77ef98c5b60dc7597808d *examples/VRND32T1.DAT
-88ec67b2cb4b90dad49aab6226e9cd5e *examples/VRND32T2.DAT
-bb869117b34a75450ca83e789bb04c46 *examples/VRND32T3.DAT
-503508454b0d5ed08a96adf23190f818 *examples/VRND32T4.DAT
-5e45734ccd901da61c9f295cf492574d *examples/VRND32T5.DAT
-bc59fc582b26c6d137cf031919315952 *examples/VRND32T6.DAT
-b1dbd8f3e5b9395ba6b67ce7a4e2a994 *examples/baerveldt3.csv
-af3d05850f96f97e626b93736b298c0f *examples/baerveldt34.csv
-c5e6da761daaf97108704086795e3c68 *examples/baerveldt4.csv
-5443db87e9e8f09c53b1be622e32ade1 *examples/cbc1.dat
-b23795d72cc8177e28c17669a2c01241 *examples/cbc3.dat
-193f2441434e7dad74f1f5a13ed9ce99 *examples/cbc6.dat
-361007f401d9caf2cf56d767c8784266 *examples/cbe1.sim
-01f10e57c5bc17a14d5b0a1cf538b8b1 *examples/cbe3.sim
-90adf16d8a0a4c350b225aba31902928 *examples/cbe4.sim
-6c3ed4fe515b1a9b6afeeca768ab697d *examples/cbe6.sim
-b93a3d040777c0a6bb9de00e7b96721f *examples/eies.csv
-421d7db7cbfe05b9c61af3596f2201db *examples/klas12b-advice.dat
-fce7d5ad7b58507bd652c63980fd9a84 *examples/klas12b-alcohol.dat
-141f0c4976a7ab11aab0749e3697dfbe *examples/klas12b-delinquency.dat
-021a4d2ae922343cfdf4541e15131092 *examples/klas12b-demographics.dat
-dcdad9496f61f0927219b5842f4c050b *examples/klas12b-net-1.dat
-4ec0b0df288cdc101b5e0e23015c8670 *examples/klas12b-net-2.dat
-049f5a72ceb353b3863fdacaf8a5a84a *examples/klas12b-net-3.dat
-702070dd9502ea4dc9332a8a980ecac4 *examples/klas12b-net-3m.dat
-f90e74adcf04c3d06289e1a3836076e1 *examples/klas12b-net-4.dat
-5cdf03668059fa7f2c2970f1e282d288 *examples/klas12b-net-4m.dat
-4ccd1894d083e9d272d16b8c2bbc5e52 *examples/klas12b-present.dat
-ec188280e3ad09a8249e99888111749c *examples/klas12b-primary.dat
-d660fc992d7473c6b75f7995fb403afc *examples/klas12b_net.csv
-7824697bd2221fbb4c08b3408d0fc492 *examples/klas12b_neta.csv
-2325fef2cbe0c382a8703d99afcf374f *examples/klas12b_netbeh.csv
-39488daea4061b7bedb85a5b88238945 *examples/klas12b_netbeha.csv
-d3e4bd095dab3578e671c895ce4d9c4a *examples/runalg.r
-e59652c99652c7cb2871f3be018d50a8 *examples/s50-alc2.dat
-809e6c67f2401aeaad0cc324ad3dc1e0 *examples/s50-alcohol.dat
-909db8415c70c802d342416b5d1ece2e *examples/s50-dr2.dat
-a534312738ea43c7f1cc2ab546f68fbd *examples/s50-network1.dat
-1e14cac7ed6e1a6d347849e66ee23513 *examples/s50-network2.dat
-681e73bccc9423460c4007684cd5a2ec *examples/s50-network3.dat
-8a1202f1a2a7b6f21cdaa6b607b51d6d *examples/s50-smoke.dat
-9364a6d30953ee47e6a518b636adbfc8 *examples/s50-sp2.dat
-13d3756a24d8547f3eee1ef48d0ab73f *examples/s50-sport.dat
-09f4021f90156622ce9deb739dcb0598 *examples/s50_d1.net
-02f26eddedb1d7796266bb002ac66c74 *examples/s50_d2.net
-54a8a7858f81297f78a8d9f685f92c65 *examples/s50_d3.net
-f9d11e179696f85170576e0e83cea53a *examples/s50_s_asp.csv
-3fb4352fe4b8ada9422e9d691aa299f5 *examples/s50_sa.csv
-c667883e6c0ea3df889bfb4a3c546897 *examples/s50e.dat
-ce873a7921285a0e118701c528ca1b44 *examples/sienafreshman.csv
-10f40c0365d558dae661468de86367a4 *examples/tmp3a.dat
-0975baeb5dd7e871a6bf001ab19b9ca1 *examples/tmp4a.dat
-a67dff63cd000dce71b6d44ef4d26f99 *examples/vandebunt.csv
-ea0ce8d3651ff45c3c087d64b5ba99d6 *help/AnIndex
-aa8c6b83382968863754fbcd6f773c3c *help/RSienaTest.rdb
-b920d90041a9585c408ed55d4ea34497 *help/RSienaTest.rdx
-e3439de53a3e7aa97b6af7c0d82b7f66 *help/aliases.rds
-3db442b7dee137d93ab7d67ffb1bcfb9 *help/paths.rds
-9538029b5bfc492b30a512562e4aee08 *html/00Index.html
-444535b9cb76ddff1bab1e1865a3fb14 *html/R.css
-68e30b9347b4c17cb4b8ff1ce9985806 *ilcampo.gif
-32f1bac64421ecdd39799ddf244b99fb *libs/i386/RSienaTest.dll
-6fc00333f07d0d9a7f9b92fd0b28a2d5 *libs/x64/RSienaTest.dll
-c01d3543573014f839cd06c2da4c294a *scripts/RSienaSNADescriptives.R
-22ccaba94ee72014899657f8b8ec672f *scripts/Rscript01DataFormat.R
-ccd51228a2eb7d5b7b9eda239a67c98a *scripts/Rscript02SienaVariableFormat.R
-ab315e963948c66ad44ff23c4998bbef *scripts/Rscript03SienaRunModel.R
-9c34878e5cb1ceaecd2fa00281c9cf81 *scripts/Rscript04SienaBehaviour.R
-f75682e282a525754b1469a3120602d1 *sienascript
Deleted: NAMESPACE
===================================================================
--- NAMESPACE 2013-02-14 07:24:12 UTC (rev 224)
+++ NAMESPACE 2013-03-12 20:49:44 UTC (rev 225)
@@ -1,49 +0,0 @@
-useDynLib(RSienaTest)
-export(coCovar, coDyadCovar, getEffects, model.create, print01Report,
-siena01Gui, siena07, sienaCompositionChange, bayes, updateTheta,
-sienaCompositionChangeFromFile, sienaDataCreate, sienaDataCreateFromSession,
-sienaGroupCreate, sienaModelCreate, sienaNet, sienaNodeSet, xtable.sienaFit,
- varCovar, varDyadCovar, setEffect, includeEffects, includeInteraction,
- effectsDocumentation, sienaDataConstraint, print.xtable.sienaFit,
- installGui, siena08, iwlsm, sienaTimeTest, includeTimeDummy, sienaGOF,
- sparseMatrixExtraction, snaEdgelistExtraction, snaSociomatrixExtraction,
- igraphEdgelistExtraction, OutdegreeDistribution, IndegreeDistribution,
- GeodesicDistribution, TriadCensus, KnnDistribution, xtable, algorithms,
- profileLikelihoods, siena.table)
-
-import(Matrix)
-
-S3method(print, siena)
-S3method(print, sienaGroup)
-S3method(print, sienaFit)
-S3method(print, summary.sienaFit)
-S3method(print, sienaModel)
-S3method(summary, sienaFit)
-S3method(print, sienaMeta)
-S3method(print, summary.sienaMeta)
-S3method(summary, sienaMeta)
-S3method(plot, sienaMeta)
-S3method(predict, iwlsm)
-S3method(print, iwlsm)
-S3method(print, summary.iwlsm)
-S3method(summary, iwlsm)
-S3method(iwlsm, formula)
-S3method(iwlsm, default)
-S3method(se.contrast, iwlsm)
-S3method(vcov, iwlsm)
-S3method(addAttributes, coCovar)
-S3method(addAttributes, varCovar)
-S3method(addAttributes, coDyadCovar)
-S3method(addAttributes, varDyadCovar)
-S3method(print, sienaTimeTest)
-S3method(summary, sienaTimeTest)
-S3method(print, summary.sienaTimeTest)
-S3method(plot, sienaTimeTest)
-S3method(print, sienaEffects)
-S3method(summary, sienaEffects)
-S3method(print, summary.sienaEffects)
-S3method(edit, sienaEffects)
-S3method(summary, sienaGOF)
-S3method(print, sienaGOF)
-S3method(plot, sienaGOF)
-S3method(print, chains.data.frame)
Deleted: Thumbs.db
===================================================================
(Binary files differ)
Deleted: ilcampo.gif
===================================================================
(Binary files differ)
Deleted: sienascript
===================================================================
--- sienascript 2013-02-14 07:24:12 UTC (rev 224)
+++ sienascript 2013-03-12 20:49:44 UTC (rev 225)
@@ -1,7 +0,0 @@
-#!/usr/bin/env Rscript
-suppressPackageStartupMessages(library(RSiena))
-suppressPackageStartupMessages(library(tcltk))
-RSiena:::DONE(FALSE)
-siena01Gui()
-while(!RSiena:::DONE()) {Sys.sleep(0.1)}
-
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