Showing 7 open source projects for "confidence interval"

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  • 1

    bootf2BCA

    computing f2 bootstrap CI BCA

    Computing similarity factor (f2) bootstrap bias corrected and accelerated confidence interval
    Downloads: 13 This Week
    Last Update:
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  • 2

    forestplot

    Make Coefficient plots using Forestplot in Python

    ...Users provide a dataframe (e.g. from a spreadsheet) where rows correspond to a variable/study with columns including estimates, variable labels, and lower and upper confidence interval limits. Additional options allow easy addition of columns in the dataframe as annotations in the plot.
    Downloads: 1 This Week
    Last Update:
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  • 3

    PBL-Gaming-Time-Warner

    A warning system for children who are addicted to games.

    This Java application builds self control and confidence in gaming-addicted kids, and breaks the cycle of addiction that has formed in our society today.
    Downloads: 0 This Week
    Last Update:
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  • 4
    JStats

    JStats

    JStats is a Java application/applet for statistical testing.

    JStats is a small but powerful Java application/applet for conducting statistical tests. The following tests are supported: * Parametric tests: T-test, ANOVA, Repeated Measures ANOVA * Non-parametric tests: Wilcoxon Rank-Sum, Wilcoxon Signed-Ranks, Kruskal-Wallis, Friedman * Check if datasets are normally distributed: Jarque-Bera, Shapiro-Wilk * Check if datasets have equal variances: F-test, Bartlett's test, John, Nagao and Sugiura's test * Correlation: Correlation coefficient,...
    Downloads: 1 This Week
    Last Update:
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  • 5
    Downloads: 0 This Week
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  • 6

    PythonStatsLab

    A collection of useful statistical functions written in Python

    There are functions for numerical integration of the standard normal probability distribution. They can be used to find probabilities, find z-alpha values, calculate confidence interval, etc. New functionality I wish to add are hypothesis testing and calculation of p-value, type I & II errors, etc. These functions would come in handy to anyone taking introductory or intermediate-level courses in probability, statistics and data analysis. There are several numerical integration techniques (Riemann sum, Simpson's method, Taylor expansion, etc.) that can be employed in this task, which I hope to add soon. ...
    Downloads: 0 This Week
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  • 7
    DeDAY

    DeDAY

    MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.

    ...Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise. DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters. DeDAY is free for academic users.
    Downloads: 1 This Week
    Last Update:
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