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"description": "Machine Learning in R"
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"description": "Machine Learning Tools"
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"description": "Multi-level vector autoregression"
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"description": "Mixed Models for Repeated Measures"
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"description": "Missing Multivariate Bayesian Variable Selection"
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"name": "R-MN",
"description": "Matrix Normal Distribution"
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"name": "R-mnet",
"description": "Modelling group differences and moderation effects in statistical network models"
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"name": "R-mnonr",
"description": "Generator of multivariate non-normal random numbers"
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"description": "Multivariate normal distribution"
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"name": "R-mnormt",
"description": "The Multivariate Normal and t distributions, and their truncated versions"
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"name": "R-MNP",
"description": "Fitting the Multinomial Probit Model"
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"name": "R-mnt",
"description": "Affine invariant tests of multivariate normality"
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"description": "Monotonic Optimal Binning"
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"name": "R-mockery",
"description": "Mocking library for R"
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"description": "Mocking in R"
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"description": "Function mocking for unit testing"
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"description": "Mode Estimation"
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"description": "Methods for correlation analysis"
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"description": "Model BIC Posterior Probability"
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"name": "R-modeldata",
"description": "Data sets useful for modelling examples"
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"name": "R-modelenv",
"description": "Tools to register models for use in R-tidymodels"
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{
"name": "R-modelfactory",
"description": "Combine statistical models into a tibble for comparison"
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{
"name": "R-ModelMetrics",
"description": "Rapid calculation of model metrics"
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{
"name": "R-modelr",
"description": "Modelling functions that work with the pipe"
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"name": "R-modelStudio",
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