Sage 50 Us 2014.2.1 Update __FULL__ Download

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It sounds like maybe the update didn't install correctly. This morning we have issued a new update, Sage 50 US 2014.2.1. I would open the server and go to Service, Check for Updates, Check Now, and download and install the latest update on the server and then all workstations. Once the latest update is installed verify that you no longer have this issue.

If the pc's are all pointing to your server, you will only need to download to the server. With the workstations you should be able to open the program, click OK on any error messages received (if any) and then close the program. Doing so will start the update.

Overview of availability of recent versions of packagesThe newest \"official\" version of RSiena (1.3.14.1) is available fromCRAN (February 5, 2023).The most recent version of RSiena at GitHub is 1.3.19 (February 7, 2023) and can be downloaded from thedownloads pageand also fromGitHub.The most recent version of multiSiena can be downloaded from thedownloads page.multiSiena contains function sienaBayes,and is meant to be used alongside RSiena. February 7, 2023:New 'official' version 1.3.14.1 of RSiena available at CRAN.It has the same functionality as version 1.3.14, except that problems were corrected that led to errors on certain platforms (related to the clang 16 C++ compiler).New version 1.3.19 of RSiena available at GitHub and the Siena downloads page. This integrates version 1.3.18 with the recent changes of CRAN version 1.3.14 to 1.3.14.1and has some further changes.The main changes visible to users with respect to the earlier GitHub version 1.3.18 are: New effect inPop_dya; internal parameter 2 for sameXInPop and diffXInPop. coCovar and varCovar now can handle variables with at least one non-missing value, but will lead to an error(with error message) if all data are missing. January 30, 2023:New version 1.3.18 of RSiena available at GitHub and the Siena downloads page.New version 1.2.14 of multiSiena available from the Siena downloads page. The main changes visible to users with respect to the earlier GitHub version 1.3.13 are: Effects inPopIntnX, inActIntnX, outPopIntnX, outActIntnX, sameXInPopIntn, sameXOutPopIntn, sameXInActIntn, sameXOutActIntn restored (these had got lost in some way...). sienaDataCreate now also accepts, as \"...\", a list of such objects. sienaGOF now accepts simulated auxiliary statistics containing missing values. If there are any, this will be reported with a warning if giveNAWarning is TRUE (the default). There is an additional step type move for MH proposal distribution for likelihood estimation (thanks to the DPhil thesis of Charlotte Greenan).This may lead to a gain in computation speed. Accordingly, some other parameters are used in sienaAlgorithmCreate for determining probabilities of MH step types, now summarized in prML; with a new default. The old default for ML estimation still is available as prML=1, but this is not the default any more. List element ac3 (auto-correlations of statistics during Phase 3) added to sienaFit object produced by siena07 for ML estimation. November 27, 2022:There was an error in function siena08 of RSiena: an incorrect value was given for the p-value of test statistic T2 for the null hypothesis that all parameters are 0. This error is corrected in version 1.3.15.New version 1.3.15 of RSiena available at CRAN and GitHub.New version 1.2.13 of multiSiena available from the Siena downloads page. November 11, 2022:New version 1.3.14 of RSiena available at CRAN and GitHub.New version 1.2.12 of multiSiena available from the Siena downloads page. This version of RSiena is available for more computer platforms thanversion 1.3.13, but does not differ in other respects. The new version of multiSiena is brought in line with RSiena 1.3.14. October 11, 2022:New version 1.3.13 of RSiena available at CRAN and GitHub.The main changes visible to users with respect to the earlier GitHub version 1.3.11 are: New effects: New effects outAct_ego, inAct_ego, reciAct_ego, toAny. gwdspFB effect added for two-mode networks. For effects to, toBack, toRecip, mixedInXW, internal effect parameter 3 now specifies truncation of the number of twosteps (change to MixedTwoStepFunction). Several new effects related to primary setting: nonPCompress, primCompress, primary, primDegAct, primDegActDiff, primDegActDiffSqrt, primDegActSqrt, primDegActLog, primDegActInv.These are not yet documented in the manual. Improvements of functionality: If returnThetas==TRUE in the call of siena07, also simulated estimation statistics during Phase 2 (deviations from targets) are returned. sigmas and meansigmas added to sienaRI object. See the help page for this function. Print of standard deviations in the sienaRI object for printSigma=TRUE changed to using averages at the variance level. Bug corrections: universalOffset initialized as 0; it was earlier initialized as the maximum real number. Corrections of documentation: Modified help page for sienaRI. Small modifications of help page for sienaGOF. June 1, 2022:New version 1.3.11 of RSiena available at GitHuband 1.2.11 of multiSiena available from the Siena downloads page.The main changes are: Correction of error that led to warning in R 4.2.0 for multivariate networks (but had no consequences for results). Correction of help page for sienaGOF (with respect to groupName). Correction of igraphNetworkExtraction in the help page for sienaGOF-auxiliary. Further explanation of mixedTriadCensus in the help page for sienaGOF-auxiliary. May 11, 2022: There was an error in effect sharedTo, which is corrected in RSiena version 1.3.10.New version 1.3.10 of RSiena available at GitHuband 1.2.10 of multiSiena available from the Siena downloads page.The main changes are: Corrected implementation of sharedTo.New effects avInAltW, avWInAlt, totInAltW, totWInAlt (with help from Robert Krause). Bug corrected that occurred when several two-mode networks were included in the dependent variables, with an order restriction between them. multiSiena brought in line with RSiena version 1.3.10. March 22, 2022:Replacement of RSienaTest by multiSiena.As a step toward integration of sienaBayes in RSiena,the package RSienaTest, of which the main remaining purpose was that it contains sienaBayes, is now replaced by multiSiena.multiSiena is a multilevel extension of the RSiena package for simulation-based estimation of stochastic actor-oriented models for longitudinal network data collected as panel data. The extension consists of the function sienaBayes and associated functions. The purpose is to fit hierarchical Bayesian models random effects to sienaGroup data objects.This package is meant to be used alongside RSiena,and is available from the downloads page. March 18, 2022:New version 1.3.9 ofRSiena available at GitHub. The main changes are: Correction of effects simAllNear and simAllFar. Minor corrections of functions sienaTimeTest and summary.sienaGOF. March 14, 2022:The paper to avoid confusion about the SAOM-TERGM comparison now is published:Per Block, James Hollway, Christoph Stadtfeld, Johan Koskinen and Tom Snijders (2022).Circular specifications and \"predicting\" with informationfrom the future: Errors in the empirical SAOM-TERGMcomparison of Leifeld & Cranmer. Network Science, First View, 1-22. DOI: AbstractWe review the empirical comparison of Stochastic Actor-oriented Models (SAOMs)and Temporal Exponential Random Graph Models (TERGMs) by Leifeld & Cranmer inNetwork Science (2019). When specifying their TERGM,they use exogenous nodal attributes calculated from the outcome networks' observeddegrees instead of endogenous ERGM equivalents of structural effects as used in the SAOM.This turns the modeled endogeneity into circularity and obtained results are tautological.In consequence, their out-of-sample predictions using TERGMs are based on out-of-sampleinformation and thereby predict the future using observations from the future.Thus, their analysis rests on erroneous model specifications that invalidate the article'sconclusions. Finally, beyond these specific points, we argue that their evaluationmetric - tie-level predictive accuracy - is unsuited for the task of comparing model performance. March 8, 2022: A belated 'news' item: The statistical theory behind the sienaBayes function is nowavailable in a paper at the ArXiV: Johan Koskinen and Tom A.B. Snijders (2022).Multilevel longitudinal analysis of social networks. arXiv preprint arXiv:2201.12713.New version 1.3.8 ofRSiena available at GitHub. The main changes are: Function sienaRI was made available also for two-mode networks (provided the number of second-mode nodes is smaller than the number of actors = first-mode nodes), and corrected for behavioral dependent variables. New effect avDeg (see the manual). Changed default internal effect parameters for simAllNear and simAllFar. Warnings avoided in sienaTimeTest with includeTimeDummy. Small improvements of help pages for sienaGroupCreate and sienaGOF. New script MoranDecompositionExample.R at theSiena scripts page.This is to illustrate how to obtain the numerical description of thedistinction between selection and influence by a decompositionof the Moran (or other) statistic according to Steglich,Snijders & Pearson (2010, Sociological Methodology). Updated script RscriptMultipleGroups.R at theSiena scripts page.Now also including a section on the use of sienaGOFfor multi-group data sets created by sienaGroupCreate. Updated script RscriptMultipleGroups_meta.R at theSiena scripts page. February 17, 2022:New version 1.3.6 ofRSiena available at GitHub. The main changes are: New effects recipRateInv, recipRateLog (thanks to Steffen Triebel). New effects absOutDiffIntn, avDegIntn, simAllNear, simAllFar. Default internal effect parameter for outOutActIntn, outOutAvIntn, and both changed from 2 to 1. Improvements of functionality: Function includeInteraction now also can modify the initialValue of an effect; and the