lmviz: lmviz: A package to visualize linear models features and play...
In lmviz: A Package to Visualize Linear Models Features and Play with Them
Description
The lmviz package contains a suite of shyny apps
SimpleLMallows to input the parameters of a simple linear model and simulate from it, exploring the various diagnostics and sampling distributions
SampleDistallows to input the parameters of a linear model and simulate from it, exploring the sampling distributions of the estimators of the coefficients
ConfIntallows to input the parameters of a simple linear model and simulate from it, illustrating confidence intervals and regions for the coefficients
SlopeTestallows to input the parameters of a simple linear model, simulate from it and repeatedly perform hypotheses testing on the slope, exploring repeated sampling properties
Predictionallows to input the parameters of a simple linear model and simulate from it illustrating confidence and prediction intervals for E(Y|X=x)
MultipleLMallows to input the parameters of a multiple linear model with two covariates and simulate from it, exploring the sampling distributions of the estimators of the coefficients
Collinallows to input the parameters of a multiple linear model with two covariates and simulate from it, exploring the consequences of collinearity on sampling distributions and inferential procedures
LMBoardthe user can draw (the points of) a scatter diagram, the corresponding linear regression model is estimated
BadLMallows to set a data generating mechanism violating the homoscedasticity and/or normality assumptions of the linear model and explore by simulation its consequences on inference
QuizResiduala game in which the user is prompted to guess whether the diagnostic plots of a linear model suggest some hypotheses is violated
GuessTheLinea game in which the user is shown a (random) scatter diagram and must guess the least squares line
GuessThePointsa game in which the user must draw a scatter diagram compatible with a series of statistics
lmviz documentation built on Aug. 25, 2020, 1:06 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The lmviz package contains a suite of shyny apps
SimpleLMallows to input the parameters of a simple linear model and simulate from it, exploring the various diagnostics and sampling distributions
SampleDistallows to input the parameters of a linear model and simulate from it, exploring the sampling distributions of the estimators of the coefficients
ConfIntallows to input the parameters of a simple linear model and simulate from it, illustrating confidence intervals and regions for the coefficients
SlopeTestallows to input the parameters of a simple linear model, simulate from it and repeatedly perform hypotheses testing on the slope, exploring repeated sampling properties
Predictionallows to input the parameters of a simple linear model and simulate from it illustrating confidence and prediction intervals for E(Y|X=x)
MultipleLMallows to input the parameters of a multiple linear model with two covariates and simulate from it, exploring the sampling distributions of the estimators of the coefficients
Collinallows to input the parameters of a multiple linear model with two covariates and simulate from it, exploring the consequences of collinearity on sampling distributions and inferential procedures
LMBoardthe user can draw (the points of) a scatter diagram, the corresponding linear regression model is estimated
BadLMallows to set a data generating mechanism violating the homoscedasticity and/or normality assumptions of the linear model and explore by simulation its consequences on inference
QuizResiduala game in which the user is prompted to guess whether the diagnostic plots of a linear model suggest some hypotheses is violated
GuessTheLinea game in which the user is shown a (random) scatter diagram and must guess the least squares line
GuessThePointsa game in which the user must draw a scatter diagram compatible with a series of statistics
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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