From 9e45ec7a7a142a4108fb43dc186f9c1f6e0ef2f1 Mon Sep 17 00:00:00 2001 From: Josh Yamamoto Date: Tue, 2 Apr 2024 09:49:23 -0500 Subject: [PATCH] resize fig --- README.Rmd | 2 +- README.md | 16 ++++++++-------- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/README.Rmd b/README.Rmd index 97bb33b..cc299b3 100644 --- a/README.Rmd +++ b/README.Rmd @@ -22,7 +22,7 @@ knitr::opts_chunk$set( `saeczi` is an R package that implements a small area estimator that uses a two-stage modeling approach for zero-inflated response variables. In particular, we are working with variables that follow a semi-continuous distribution with a mixture of zeroes and positive continuously distributed values. An example can be seen below. -![](figs/README-zi-plot-1.png){width = 70%} +![](figs/README-zi-plot-1.png){width=60%} `saeczi` first fits a linear mixed model to the non-zero portion of the response and then a generalized linear mixed model with binomial response to classify the probability of zero for a given data point. In estimation these models are each applied to new data points and combined to compute a final prediction. diff --git a/README.md b/README.md index b08043f..d2462c3 100644 --- a/README.md +++ b/README.md @@ -19,7 +19,7 @@ In particular, we are working with variables that follow a semi-continuous distribution with a mixture of zeroes and positive continuously distributed values. An example can be seen below. -![](figs/README-zi-plot-1.png){width = 70%} + `saeczi` first fits a linear mixed model to the non-zero portion of the response and then a generalized linear mixed model with binomial @@ -97,13 +97,13 @@ few rows of the results: ``` r result$res |> head() -#> COUNTYFIPS mse est -#> 1 41001 524.33803 14.57288 -#> 2 41003 1176.47914 103.33016 -#> 3 41005 18891.79642 86.08616 -#> 4 41007 27.43582 78.79615 -#> 5 41009 4674.77845 73.98920 -#> 6 41011 14.29977 90.44174 +#> COUNTYFIPS mse est +#> 1 41001 222.8002 14.57288 +#> 2 41003 1076.2263 103.33016 +#> 3 41005 11531.0003 86.08616 +#> 4 41007 2547.4668 78.79615 +#> 5 41009 2432.7100 73.98920 +#> 6 41011 1053.2496 90.44174 ``` ### Parallelization