Description Details Options Author(s) See Also Examples
An implementation of analytical tools of stock factors models for investing China stock market.
The main goals of zstmodelr is to leverage traditional financial theory and modern ML method to build stock models for China stock market.
To learn more about zstmodelr, start with the vignettes:
browseVignettes(package = "zstmodelr")
zstmodelr.data_mgt.guess_max
: maximum number of records to use for
guessing column types in importing txt/csv files(default:20000
).
zstmodelr.common.parallel
: whether process will be executed in parallel
or not (default: TRUE
).
zstmodelr.common.clusters
: number of clusters to be used for parallel
processing(default: parallel::detectCores() - 1
).
Maintainer: Chris Zheng chriszheng@vip.sina.com.cn
Useful links:
Report bugs at https://github.com/chriszheng2016/zstmodelr/issues
1 2 3 4 5 6 7 8 9 10 | ## Not run:
library(zstmodelr)
# adjust options for reading importing files
options(zstmodelr.data_mgt.guess_max = 300000)
# read some importing files....
ds_import_data <- read_import_file(input_file)
## End(Not run)
|
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