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R: Fleiss' generalized kappa among multiple raters (2, 3, +)...
...generalized kappa among multiple raters (2, 3, +) when the input data represent the raw ratings reported for each subject and each rater. Description Fleiss' generalized kappa among multiple raters...
/CRAN/refmans/irrCAC/html/fleiss.kappa.raw.html
cran-help matching:
multiple, multiple, raters, raters, kappa, kappa and kappa |
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R: Fleiss' agreement coefficient among multiple raters (2, 3, +)...
...agreement coefficient among multiple raters (2, 3, +) when the input dataset is the distribution of raters by subject and category. Usage fleiss.kappa.dist(ratings, weights = "unweighted", categ...
/CRAN/refmans/irrCAC/html/fleiss.kappa.dist.html
cran-help matching:
multiple, multiple, raters, raters, kappa and kappa |
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R: Light's Kappa for m raters
...m raters. Details Missing data are omitted in a listwise way. Light's Kappa equals the average of all possible combinations of bivariate Kappas between raters. Value A list with class '"irrlist"'...
/CRAN/refmans/irr/html/kappam.light.html
cran-help matching:
multiple, raters, raters, kappa and kappa |
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R: Fleiss' Kappa for m raters
...Kappa for m raters Description Computes Fleiss' Kappa as an index of interrater agreement between m raters on categorical data. Additionally, category-wise Kappas could be computed. Usage kappam...
/CRAN/refmans/irr/html/kappam.fleiss.html
cran-help matching:
multiple, raters, raters, kappa and kappa |
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R: Light's kappa for n raters
...Light's kappa for n raters Description Computes Light's Kappa for agreement in the case of n raters. The diagnosis (the object of the rating) may have k possible values (ordered or not). Usage lkappa...
/CRAN/refmans/psy/html/lkappa.html
cran-help matching:
multiple, raters, raters, kappa and kappa |
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R: Kappa for m Raters
...Kappa for m Raters Description Computes kappa as an index of interrater agreement between m raters on categorical data. Usage KappaM(x, method = c("Fleiss", "Conger", "Light"), conf.level = NA)...
/CRAN/refmans/DescTools/html/KappaM.html
cran-help matching:
multiple, raters, raters, kappa and kappa |
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R: Conger's generalized kappa coefficient for an arbitrary...
...Conger's generalized kappa coefficient for an arbitrary number of raters (2, 3, +) when the input data represent the raw ratings reported for each subject and each rater. Usage conger.kappa.raw...
/CRAN/refmans/irrCAC/html/conger.kappa.raw.html
cran-help matching:
multiple, raters, kappa, kappa and kappa |
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R: Percent agreement coefficient among multiple raters (2, 3, +)...
...agreement coefficient among multiple raters (2, 3, +) when the input dataset is the distribution of raters by subject and category. Description Percent agreement coefficient among multiple raters (2...
/CRAN/refmans/irrCAC/html/pa.coeff.dist.html
cran-help matching:
multiple, multiple, raters, raters and kappa |
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R: Find Cohen's kappa and weighted kappa coefficients for...
...raters Description Cohen's kappa (Cohen, 1960) and weighted kappa (Cohen, 1968) may be used to find the agreement of two raters when using nominal scores. Light's kappa is just the average cohen.kappa...
/CRAN/refmans/psych/html/kappa.html
cran-help matching:
multiple, raters, kappa, kappa and kappa |
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R: Brennan-Prediger's agreement coefficient among multiple...
...coefficient among multiple raters (2, 3, +) when the input dataset is the distribution of raters by subject and category. Description Brennan-Prediger's agreement coefficient among multiple raters (2...
/CRAN/refmans/irrCAC/html/bp.coeff.dist.html
cran-help matching:
multiple, multiple, raters and kappa |
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R: Computing Chance-Corrected Agreement Coefficients (CAC)
...bf Computing Altman's Benchmark Scale Membership Probabilities bipolar.weights Function for computing the Bipolar Weights bp.coeff.dist Brennan-Prediger's agreement coefficient among multiple raters...
/CRAN/refmans/irrCAC/html/00Index.html
cran-help matching:
multiple, raters and kappa |
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R: Calculation of the Lowest Expected Value, kappaL for a fixed...
...can be calculated for a fixed sample size, n, and an anticipated value of \kappa. This version assumes that the outcome has three categories. Usage FixedN3Cats(kappa0, n, props, raters=2, alpha=0.05)...
/CRAN/refmans/kappaSize/html/FixedN3Cats.html
cran-help matching:
multiple, raters and kappa |
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R: Calculation of the Lowest Expected Value, kappaL, for a fixed...
...be calculated for a fixed sample size, n, and an anticipated value of \kappa, kappa0. This version assumes that the outcome of interest is binary. Usage FixedNBinary(kappa0, n, props, raters=2, alpha...
/CRAN/refmans/kappaSize/html/FixedNBinary.html
cran-help matching:
multiple, raters and kappa |
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R: Calculation of the Lowest Expected Value, kappaL, for a fixed...
...can be calculated for a fixed sample size, n, and an anticipated value of \kappa, kappa0. This version assumes that the outcome of interest has four levels. Usage FixedN4Cats(kappa0, n, props, raters...
/CRAN/refmans/kappaSize/html/FixedN4Cats.html
cran-help matching:
multiple, raters and kappa |
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R: Calculation of the Lowest Expected Value, kappaL, for a fixed...
...can be calculated for a fixed sample size, n, and an anticipated value of \kappa, kappa0. This version assumes that the outcome of interest has five levels. Usage FixedN5Cats(kappa0, n, props, raters...
/CRAN/refmans/kappaSize/html/FixedN5Cats.html
cran-help matching:
multiple, raters and kappa |
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R: Confidence Interval Approach for the Number of Subjects...
...confidence interval perspective to sample size estimation for \kappa. This version assumes that the outcome has three categories. Usage CI3Cats(kappa0, kappaL, kappaU=NA, props, raters=2, alpha=0.05) ...
/CRAN/refmans/kappaSize/html/CI3Cats.html
cran-help matching:
multiple, raters and kappa |
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R: Power-Based Approach for the Number of Subjects Required for...
...hypothesis H_0: \kappa = \kappa_0 vs. H_1: \kappa = \kappa_1, at two-sided significance level \alpha, with power, 1 - \beta. Usage PowerBinary(kappa0, kappa1, props, raters=2, alpha=0.05, power=0.80) ...
/CRAN/refmans/kappaSize/html/powerBinary.html
cran-help matching:
multiple, raters and kappa |
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R: Power-Based Approach for the Number of Subjects Required for...
...provides detailed sample size estimation information to determine the number of subjects that are required to test the hypothesis H_0: \kappa = \kappa_0 vs. H_1: \kappa = \kappa_1, at two-sided...
/CRAN/refmans/kappaSize/html/power3Cats.html
cran-help matching:
multiple, raters and kappa |
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R: Confidence Interval Approach for the Number of Subjects...
...using the confidence interval perspective to sample size estimation for \kappa. This version assumes that the outcome has two categories. Usage CIBinary(kappa0, kappaL, kappaU=NA, props, raters=2...
/CRAN/refmans/kappaSize/html/CIBinary.html
cran-help matching:
multiple, raters and kappa |
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R: Power-Based Approach for the Number of Subjects Required for...
...provides detailed sample size estimation information to determine the number of subjects that are required to test the hypothesis H_0: \kappa = \kappa_0 vs. H_1: \kappa = \kappa_1, at two-sided...
/CRAN/refmans/kappaSize/html/power4Cats.html
cran-help matching:
multiple, raters and kappa |
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R: Confidence Interval Approach for the Number of Subjects...
...using the confidence interval perspective to sample size estimation for \kappa. This version assumes that the outcome has four categories. Usage CI4Cats(kappa0, kappaL, kappaU=NA, props, raters=2...
/CRAN/refmans/kappaSize/html/CI4Cats.html
cran-help matching:
multiple, raters and kappa |
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R: Power-Based Approach for the Number of Subjects Required for...
...provides detailed sample size estimation information to determine the number of subjects that are required to test the hypothesis H_0: \kappa = \kappa_0 vs. H_1: \kappa = \kappa_1, at two-sided...
/CRAN/refmans/kappaSize/html/power5Cats.html
cran-help matching:
multiple, raters and kappa |
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R: Confidence Interval Approach for the Number of Subjects...
...using the confidence interval perspective to sample size estimation for \kappa. This version assumes that the outcome has five categories. Usage CI5Cats(kappa0, kappaL, kappaU=NA, props, raters=2...
/CRAN/refmans/kappaSize/html/CI5Cats.html
cran-help matching:
multiple, raters and kappa |
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R: iota coefficient for the interrater agreement of multivariate...
...iota(ratings, scaledata = c("quantitative","nominal"), standardize = FALSE) Arguments ratings list of n*m matrices or dataframes with one list element for each variable, n subjects m raters. scaledata...
/CRAN/refmans/irr/html/iota.html
cran-help matching:
multiple, raters and kappa |
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R: A Package for Processing Lexical Response Data
...Free Recall Scoring crp Conditional Response Probability crp_multiple Conditional Response Probability for Multiple Lists cued_data Cued Recall Data cued_data_groupby Cued Recall Data with Multiple...
/CRAN/refmans/lrd/html/00Index.html
cran-help matching:
multiple, raters and kappa |
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R: Calculate reliability measures based on content analysis
...calculates different reliability measures which are based on the empirical research method of content analysis. Usage get_coder_metrics( true_values = NULL, predicted_values = NULL, return_names_only...
/CRAN/refmans/aifeducation/html/get_coder_metrics.html
cran-help matching:
multiple, raters and kappa |
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R: Brown and Hauenstein (2005) awg agreement index
...multiple item matrix representing a scale. The awg is an analogue to Cohen's kappa. Brown and Hauenstein (pages 177-178) recommend interpreting the awg similarly to how the rwg (James et al., 1984) is...
/CRAN/refmans/multilevel/html/awg.html
cran-help matching:
multiple, raters and kappa |
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R: Interface to 'TensorFlow SIG Addons'
...activation_lisht Lisht activation_mish Mish activation_rrelu Rrelu activation_softshrink Softshrink activation_sparsemax Sparsemax activation_tanhshrink Tanhshrink attention_bahdanau Bahdanau...
/CRAN/refmans/tfaddons/html/00Index.html
cran-help matching:
multiple, raters and kappa |
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R: Inter-Battery Factor Analysis by the Method of Maximum...
...conducts maximum likelihood inter-battery factor analysis using procedures described by Browne (1979). The unrotated solution can be rotated (using the GPArotation package) from a user-specified...
/CRAN/refmans/fungible/html/faIB.html
cran-help matching:
multiple, raters and kappa |
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R: Procedures for Psychological, Psychometric, and Personality Research
...NEWS. Help Pages A B C D E F G H I K L M N O P Q R S T U V W Y misc psych-package A package for personality, psychometric, and psychological research -- A -- acs Miscellaneous helper functions...
/CRAN/refmans/psych/html/00Index.html
cran-help matching:
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R: Tools for Descriptive Statistics and Exploratory Data...
The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing...
/CRAN/refmans/DescTools/html/DescTools-package.html
cran-help matching:
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R: Statistical Methods for Psychologists
...intervals of effects in a 2x2 mixed design for means ci.2x2.mean.ws Computes tests and confidence intervals of effects in a 2x2 within-subjects design for means ci.2x2.median.bs Computes tests ...
/CRAN/refmans/statpsych/html/00Index.html
cran-help matching:
multiple, raters and kappa |
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R: Tools for Descriptive Statistics
...D E F G H I J K L M N O P Q R S T U V W X Y Z misc DescTools-package Tools for Descriptive Statistics and Exploratory Data Analysis -- A -- ABCCoords Coordinates for "bottomright", etc. Abind Combine...
/CRAN/refmans/DescTools/html/00Index.html
cran-help matching:
multiple, raters and kappa |