Man pages for mdedge/stfspack
Functions to Support Statistical Thinking from Scratch
| beta.mm | Compute the least-squares slope estimate for simple linear... |
| boot.dist.1d | Generate a bootstrap distribution for a statistic computed on... |
| boot.samp | Draw a bootstrap sample from a matrix or vector |
| compare.tail.to.normal | Compare tails of a sample to normal expectation. |
| dosm.beta.hist | Simulate and plot the distribution of the sample mean |
| laplace.samps | Generate a matrix of samples from a Laplace distribution. |
| many.outcome.sim | Simulate a multiple-testing scenario |
| mat.samps | Generate a matrix of samples from a chosen distribution. |
| norm.samps | Generate a matrix of samples from a normal distribution. |
| perm.samp | Randomly permute the columns of a matrix independently |
| post.conj.norm.norm | Compute normal conjugate posterior |
| power.sim.1sz | Estimate the power of a one-sample z test by simulation |
| ps.1sz | Estimate the power of a one-sample z test by simulation |
| reject.samp.norm | Perform rejection sampling for normally distributed data with... |
| rlaplace | Sample from a Laplace (also called double-exponential)... |
| rnorm.contam | Sample from a Normal distribution with outliers |
| rnorm.mix | Sample from a Normal distribution with outliers |
| rnorm.out | A matrix of samples from a Normal distribution with outliers |
| rpareto | Sample from a Pareto distribution |
| serial.testing.sim | Simulate an optional stopping p-value scenario |
| sim.2var | Simulate data from a a linear model with an unobserved... |
| sim.lm | Simulate data from a simple linear model. |
| sim.lm.ests | Simulate data from a linear model and estimate the... |
| sim.perm.B | Simulate simple linear regression data and apply a... |
| sim.Wald.B | Simulate simple linear regression data and apply a Wald test |
| wc.1sz | Simulate the winner's curse with a one-sample z-test |
| wincurse.sim.1sz | Simulate the winner's curse with a one-sample z-test |
| wrap.bm | Simulate a normal sample and compute a bootstrap distribution |
