Tool Name: Mixed Psychophysics (May 2014)<\/p>\n
Contributor: Alessandro Moscatelli <\/a><\/p>\n Tool ID: MERpsychophysics<\/p>\n Tool Type: Toolboxes \/ Software <\/p>\n Year: 2014<\/p>\n Tool Description: The package MERpsychophysics contains a collection of R functions for the analysis of psychophysical data in R.<\/p>\n References:<\/b><\/p>\n Psychophysics with R: examples in journal articles<\/p>\n [1] Moscatelli A, Mezzetti M, Lacquaniti F. Modeling psychophysical data at the population-level: the generalized linear mixed model. J Vis. 2012 Oct 25;12(11). Tool Name: Mixed Psychophysics (May 2014) Contributor: Alessandro Moscatelli Toolbox Website Tool ID: MERpsychophysics Tool Type: Toolboxes \/ Software Year: 2014 Tool Description: The package MERpsychophysics contains a collection of R functions for the analysis of psychophysical data in R. References: Psychophysics with R: examples in journal articles [1] Moscatelli A, Mezzetti M, Lacquaniti F.[…]<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[61],"tags":[67,96,72,71,70],"_links":{"self":[{"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=\/wp\/v2\/posts\/1269"}],"collection":[{"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1269"}],"version-history":[{"count":9,"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=\/wp\/v2\/posts\/1269\/revisions"}],"predecessor-version":[{"id":1286,"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=\/wp\/v2\/posts\/1269\/revisions\/1286"}],"wp:attachment":[{"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1269"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1269"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.handcorpus.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1269"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n<\/p>\nToolbox Website<\/h2>\n
\n[2] Moscatelli, A, & Lacquaniti, F (2011) The weight of time: gravitational force enhances discrimination of visual motion duration. Journal of Vision, 11(4), 5.
\n[3] Moscatelli, A, Polito, L, & Lacquaniti, F (2011) Time perception of action photographs is more precise than that of still photographs. Experimental Brain Research, 210(1), 25-32.
\n[4] Baayen, RH, Davidson, DJ, & Bates, DM (2008) Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language 59, 390-412.
\n[5] Kuss, M, J\u00e4kel, K, & Wichmann, F (2005) Approximate Bayesian Inference for Psychometic Functions sing MCMC Sampling. Technical Report.
\n[6] Yssaad-Fesselier, R, & Knoblauch, K (2006) Modeling psychometric functions in R. Behavioral Research Methods, 38(1), 28-41.<\/p>\n","protected":false},"excerpt":{"rendered":"