The LATERmodel R package is an open-source implementation of Roger Carpenter’s Linear Approach to Threshold with Ergodic Rate (LATER) model (R. Carpenter (1981), Noorani and Carpenter (2016)). This package enables the easy visualisation of reaction time data in LATER’s signature reciprobit space, as well as estimating parameters to fit the model to datasets, comparing raw datasets, comparing fits (i.e., is the dataset better explained by a shift or a swivel?), adding an early component, etc.
This package also includes two canonical datasets digitised from R. H. S. Carpenter and Williams (1995) and Reddi, Asrress, and Carpenter (2003).
You can install LATERmodel with:
install.packages("LATERmodel")Load digitised data from Figure 1 in Carpenter and Williams (1995):
library(LATERmodel)
data(carpenter_williams_1995)Extract data corresponding only to participant a (Figure
1.a):
raw_data <- subset(carpenter_williams_1995, participant == "a")The data analysis functions within this package require the raw data
to first undergo pre-processing using the prepare_data
function. We pass our raw_data variable as the argument to
the raw_data parameter of prepare_data to
perform such pre-processing:
data <- prepare_data(raw_data = raw_data)Fit each condition individually (no shared parameters between them), and include an early component for all of them:
data_fit <- individual_later_fit(data, with_early_component = TRUE)Visualise the raw data and the best individual fits:
reciprobit_plot(data, data_fit)
For a more detailed analysis using the LATERmodel R
package, see this
article.