anstrain | Perceptual learning data |
anstrain_s1 | Perceptual learning data from one participant |
coef.TEfit | Extract coefficients from a TEfit model |
fitted.TEfitAll | Get fitted values and summary statistics from a set of TEfit... |
inv_logit | Inverse logistic transformation |
plot.TEfit | Plot a TEfit |
plot.TEfitAll | Plot a collection of models fit by TEfitAll() |
residuals.TEfit | Extract residuals from a TEfit model |
simulate.TEfit | Simulate from a TEfit, assuming multivariate gaussian... |
summary.TEfit | Summarize a time-evolving fit |
summary.TEfitAll | Summarize a collection of time-evolving fits |
TEbrm | Fit a time-evolving model with Stan using brms |
TEbrm_advi | Run a brm model with ADVI |
tef_acc2dprime | Convert an ordered vector of accuracies to d-prime |
tef_applyWDM | Calculate the Wiener negative log likelihood of a vector of... |
tef_bootList | Make a list of parameters for resampling a TEfit model |
tef_change_expo3 | Construct a 3-parameter exponential function of change |
tef_change_gam | Construct a by-time Generalized Additive Model formula |
tef_change_power3 | Construct a 3-parameter power function of change |
tef_change_power4 | Construct a 4-parameter power function of change |
tef_change_weibull | Construct a 4-parameter Weibull function of change |
tef_checkPars | Check for bound hitting and other undesireable outcomes... |
tef_control | Get control parameters for a TEfit model |
tef_err | Calculate error for TEFit::tef_fitErr |
tef_fitAll2brms | Refit a TEfitAll model with brms |
tef_gaussRBF | From a numeric vector, get a set of weight vectors... |
tef_getRanefForm | Extract group-level regressions from a multilevel model... |
TEfit | Fit a time-evolving model (nonlinear regression by minimizing... |
TEfitAll | Fit several time-evolving regression models |
TEfits | TEfits: Time-evolving model fits |
tef_link_logistic | Construct a logistic link function parameterized with... |
tef_link_weibull | Construct a weibull link function parameterized with... |
tef_mono_expo | Create an integer vector coding a saturating function of time |
tef_parseParFormula | Parse a parameter-level formula for a TEfit model |
tef_penalizedErr | Penalize error for being close to a boundary |
tef_rlm_boot | Bootstrapped robust linear model |
tef_runningMean | 1-dimensional Gaussian smoothing |
tef_subsetCorrel | Find mean correlations of subsets of vectors |
tef_windowWDM | Find a data frame of Wiener Diffusion Model parameters |
TEglm | Generalized linear model with nonlinear time predictor |
TEglmem | Generalized linear mixed-effects model with nonlinear time... |
TEhelp | Get help for the TEfits package |
TElm | [Robust] linear model with nonlinear time predictor |
TElmem | Linear mixed-effects model with nonlinear time random effects |
time_basisFun_df | Construct basis functions |
time_basisFun_formula | Construct a formula with basis functions over time |
time_basisFun_mem | Fit a mixed-effects model with a set of by-time basis... |
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