rtmpt: An R package for fitting response-time extended multinomial processing tree models
Response-time extended multinomial processing tree models (RT-MPT; Klauer and Kellen, Journal of Mathematical Psychology, 82 , 111–130 2018 ) provide estimates of process-completion times for cognitive processes modeled by means of multinomial processing tree (MPT) models (Batchelder and Riefer, Psy...
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| Veröffentlicht in: | Behavior Research Methods 2020-06, Vol.52 (3), p.1313-1338 |
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| creator | Hartmann, Raphael Johannsen, Lea Klauer, Karl Christoph |
| description | Response-time extended multinomial processing tree models (RT-MPT; Klauer and Kellen,
Journal of Mathematical Psychology, 82
, 111–130
2018
) provide estimates of process-completion times for cognitive processes modeled by means of multinomial processing tree (MPT) models (Batchelder and Riefer,
Psychonomic Bulletin & Review, 6
, 57–86
1999
). We present the
R
package rtmpt with which it is possible to fit RT-MPT models easily. The package is free and open source, it can be used with two established MPT syntaxes, and has a number of useful features, such as suppressing process-completion times for specific process outcomes, holding process probabilities constant, and changing some prior parameters. In the background of the
R
package, an altered version of the original
C++
code is used for the MCMC sampling. We provide a guide to using rtmpt, validate the underlying hierarchical Bayesian algorithm of rtmpt using simulation-based calibration and show that previously reported results can be reproduced using rtmpt. |
| doi_str_mv | 10.3758/s13428-019-01318-x |
| format | Article |
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Journal of Mathematical Psychology, 82
, 111–130
2018
) provide estimates of process-completion times for cognitive processes modeled by means of multinomial processing tree (MPT) models (Batchelder and Riefer,
Psychonomic Bulletin & Review, 6
, 57–86
1999
). We present the
R
package rtmpt with which it is possible to fit RT-MPT models easily. The package is free and open source, it can be used with two established MPT syntaxes, and has a number of useful features, such as suppressing process-completion times for specific process outcomes, holding process probabilities constant, and changing some prior parameters. In the background of the
R
package, an altered version of the original
C++
code is used for the MCMC sampling. We provide a guide to using rtmpt, validate the underlying hierarchical Bayesian algorithm of rtmpt using simulation-based calibration and show that previously reported results can be reproduced using rtmpt.</description><identifier>ISSN: 1554-3528</identifier><identifier>EISSN: 1554-3528</identifier><identifier>DOI: 10.3758/s13428-019-01318-x</identifier><identifier>PMID: 32377974</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Bayes Theorem ; Bayesian analysis ; Behavioral Science and Psychology ; Cognitive ability ; Cognitive Psychology ; Computer software industry ; Mathematical models ; Mathematics ; Psychology ; Quantitative psychology ; Reaction Time</subject><ispartof>Behavior Research Methods, 2020-06, Vol.52 (3), p.1313-1338</ispartof><rights>The Psychonomic Society, Inc. 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>The Psychonomic Society, Inc. 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c486t-9b7e99f7942f0dd8ee34944bfd44b4386125f75935c5697256fa76ea48a5b9db3</citedby><cites>FETCH-LOGICAL-c486t-9b7e99f7942f0dd8ee34944bfd44b4386125f75935c5697256fa76ea48a5b9db3</cites><orcidid>0000-0003-4686-9329</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.3758/s13428-019-01318-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.3758/s13428-019-01318-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32377974$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hartmann, Raphael</creatorcontrib><creatorcontrib>Johannsen, Lea</creatorcontrib><creatorcontrib>Klauer, Karl Christoph</creatorcontrib><title>rtmpt: An R package for fitting response-time extended multinomial processing tree models</title><title>Behavior Research Methods</title><addtitle>Behav Res</addtitle><addtitle>Behav Res Methods</addtitle><description>Response-time extended multinomial processing tree models (RT-MPT; Klauer and Kellen,
Journal of Mathematical Psychology, 82
, 111–130
2018
) provide estimates of process-completion times for cognitive processes modeled by means of multinomial processing tree (MPT) models (Batchelder and Riefer,
Psychonomic Bulletin & Review, 6
, 57–86
1999
). We present the
R
package rtmpt with which it is possible to fit RT-MPT models easily. The package is free and open source, it can be used with two established MPT syntaxes, and has a number of useful features, such as suppressing process-completion times for specific process outcomes, holding process probabilities constant, and changing some prior parameters. In the background of the
R
package, an altered version of the original
C++
code is used for the MCMC sampling. We provide a guide to using rtmpt, validate the underlying hierarchical Bayesian algorithm of rtmpt using simulation-based calibration and show that previously reported results can be reproduced using rtmpt.</description><subject>Algorithms</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Behavioral Science and Psychology</subject><subject>Cognitive ability</subject><subject>Cognitive Psychology</subject><subject>Computer software industry</subject><subject>Mathematical models</subject><subject>Mathematics</subject><subject>Psychology</subject><subject>Quantitative psychology</subject><subject>Reaction Time</subject><issn>1554-3528</issn><issn>1554-3528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUuLFTEQhRtRnIf-ARcScOOmx86rk7i7DDoKAwPDuHAV0p3KJWN30iZpuP57c-3xgYshVBKqvlMcOE3zCncXVHD5LmPKiGw7rGpRLNvDk-YUc85ayol8-s__pDnL-b7rqCSYPW9OKKFCKMFOm6-pzEt5j3YB3aLFjN_MHpCLCTlfig97lCAvMWRoi58BwaFAsGDRvE51HGdvJrSkOELOR7okADRHC1N-0TxzZsrw8uE9b758_HB3-am9vrn6fLm7bkcm-9KqQYBSTihGXGetBKBMMTY4Wy9GZY8Jd4IrykfeK0F474zowTBp-KDsQM-bt9veauP7Crno2ecRpskEiGvWhColKekZqeib_9D7uKZQ3WnCcCcEFv2RutiovZlA--BiSWasx8LsxxjA-drfCcywYAL3VUA2wZhizgmcXpKfTfqhcaePSektKV2T0r-S0ocqev3gZR1msH8kv6OpAN2AXEdhD-mv2UfW_gRO8Z6C</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Hartmann, Raphael</creator><creator>Johannsen, Lea</creator><creator>Klauer, Karl Christoph</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>4T-</scope><scope>7TK</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4686-9329</orcidid></search><sort><creationdate>20200601</creationdate><title>rtmpt: An R package for fitting response-time extended multinomial processing tree models</title><author>Hartmann, Raphael ; Johannsen, Lea ; Klauer, Karl Christoph</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c486t-9b7e99f7942f0dd8ee34944bfd44b4386125f75935c5697256fa76ea48a5b9db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Bayes Theorem</topic><topic>Bayesian analysis</topic><topic>Behavioral Science and Psychology</topic><topic>Cognitive ability</topic><topic>Cognitive Psychology</topic><topic>Computer software industry</topic><topic>Mathematical models</topic><topic>Mathematics</topic><topic>Psychology</topic><topic>Quantitative psychology</topic><topic>Reaction Time</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hartmann, Raphael</creatorcontrib><creatorcontrib>Johannsen, Lea</creatorcontrib><creatorcontrib>Klauer, Karl Christoph</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>Docstoc</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Behavior Research Methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hartmann, Raphael</au><au>Johannsen, Lea</au><au>Klauer, Karl Christoph</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>rtmpt: An R package for fitting response-time extended multinomial processing tree models</atitle><jtitle>Behavior Research Methods</jtitle><stitle>Behav Res</stitle><addtitle>Behav Res Methods</addtitle><date>2020-06-01</date><risdate>2020</risdate><volume>52</volume><issue>3</issue><spage>1313</spage><epage>1338</epage><pages>1313-1338</pages><issn>1554-3528</issn><eissn>1554-3528</eissn><abstract>Response-time extended multinomial processing tree models (RT-MPT; Klauer and Kellen,
Journal of Mathematical Psychology, 82
, 111–130
2018
) provide estimates of process-completion times for cognitive processes modeled by means of multinomial processing tree (MPT) models (Batchelder and Riefer,
Psychonomic Bulletin & Review, 6
, 57–86
1999
). We present the
R
package rtmpt with which it is possible to fit RT-MPT models easily. The package is free and open source, it can be used with two established MPT syntaxes, and has a number of useful features, such as suppressing process-completion times for specific process outcomes, holding process probabilities constant, and changing some prior parameters. In the background of the
R
package, an altered version of the original
C++
code is used for the MCMC sampling. We provide a guide to using rtmpt, validate the underlying hierarchical Bayesian algorithm of rtmpt using simulation-based calibration and show that previously reported results can be reproduced using rtmpt.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32377974</pmid><doi>10.3758/s13428-019-01318-x</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0003-4686-9329</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Bayes Theorem Bayesian analysis Behavioral Science and Psychology Cognitive ability Cognitive Psychology Computer software industry Mathematical models Mathematics Psychology Quantitative psychology Reaction Time |
| title | rtmpt: An R package for fitting response-time extended multinomial processing tree models |
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