WebJun 3, 2024 · Browse package contents Vignettes Man pages API and functions Files Try the psychometric package in your browser library (psychometric) help (psychometric) Run (Ctrl-Enter) Any scripts or data that you put into this service are public. psychometric documentation built on June 3, 2024, 9:07 a.m. http://psychonetrics.org/
CRAN Task View: Psychometric Models and Methods
WebPackage ‘RTFA’ April 10, 2024 Type Package ... TFM_FN(x, r = NULL, method = "PE", tol = 1e-04, maxiter = 100) 4 TFM_FN Arguments x T p 1 p K tensor-valued time series. r input rank of the factor tensor. method character string, specifying the type of the factor estimation method to be used. Webpackage ‘Psychometrics’ is not available (for R version 3.4.4).” mara June 11, 2024, 2:39pm #2 It looks like psychometrics hasn't been updated since 2010, so it's possible that the package is somehow not compatible, which may not be an issue with Cloud. Not sure, just offering what little insight I have here. professor betchani tchereni
Modeling psychometric functions in R
WebOct 1, 2015 · In R, you can make use of the CI.Rsq () function provided by the psychometric package. As for the formula it applies, see Cohen et al. (2003), Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, p. 88: S E R 2 = 4 R 2 ( 1 − R 2) 2 ( n − k − 1) 2 ( n 2 − 1) ( n + 3) Then, the 95% CI is your R 2 ± 2 ⋅ S E R 2. Share Cite WebMar 14, 2024 · Package ‘psych’ March 17, 2024 Version 2.3.3 Date 2024-03-14 Title Procedures for Psychological, Psychometric, and Personality Research Description A general purpose toolbox developed orginally for personality, psychometric theory and experi-mental psychology. Functions are primarily for multivariate analysis and scale … WebR. Familiarity with its syntax and basic commands is as-sumed. R comes with extensive documentation, and ad-ditional documents can be found on the Comprehensive R Archive Network (CRAN) Web site. Fitting a Psychometric Function With gnlr The gnlr() function from the gnlm package will fit a user-specified nonlinear regression to a number of one- professor bertil ohlin 1975