Hello, I get this error when running stan:
library(rstan)
scode <- "
parameters {
real y[2];
}
model {
y[1] ~ normal(0, 1);
y[2] ~ double_exponential(0, 2);
}
"
fit1 <- stan(model_code = scode, iter = 10, verbose = TRUE)
TRANSLATING MODEL '35830db9246beefe3363141b64f17491' FROM Stan CODE TO C++ CODE NOW.
successful in parsing the Stan model '35830db9246beefe3363141b64f17491'.
'config' variable 'CPP' is deprecated
gcc -std=gnu99 -E
COMPILING THE C++ CODE FOR MODEL '35830db9246beefe3363141b64f17491' NOW.
OS: x86_64, linux-gnu; rstan: 2.21.3; Rcpp: 1.0.5; inline: 0.3.16
>> setting environment variables:
PKG_LIBS = '/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/rstan/lib//libStanServices.a' -L'/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/StanHeaders/lib/' -lStanHeaders -L'/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/RcppParallel/lib/' -ltbb
PKG_CPPFLAGS = -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/Rcpp/include/" -I"/software/R/lib64/R/library/RcppEigen/include/" -I"/software/R/lib64/R/library/RcppEigen/include/unsupported" -I"/software/R/lib64/R/library/BH/include" -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/StanHeaders/include/src/" -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/StanHeaders/include/" -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/RcppParallel/include/" -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/rstan/include" -DEIGEN_NO_DEBUG -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -DSTAN_THREADS -DBOOST_NO_AUTO_PTR -include '/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp' -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1
>> Program source :
1 :
2 : // includes from the plugin
3 : // [[Rcpp::plugins(cpp14)]]
4 :
5 :
6 : // user includes
7 : #include <Rcpp.h>
8 : #include <rstan/io/rlist_ref_var_context.hpp>
9 : #include <rstan/io/r_ostream.hpp>
10 : #include <rstan/stan_args.hpp>
11 : #include <boost/integer/integer_log2.hpp>
12 : // Code generated by Stan version 2.21.0
13 :
14 : #include <stan/model/model_header.hpp>
15 :
16 : namespace model1cb523508902dd_35830db9246beefe3363141b64f17491_namespace {
17 :
18 : using std::istream;
19 : using std::string;
20 : using std::stringstream;
21 : using std::vector;
22 : using stan::io::dump;
23 : using stan::math::lgamma;
24 : using stan::model::prob_grad;
25 : using namespace stan::math;
26 :
27 : static int current_statement_begin__;
28 :
29 : stan::io::program_reader prog_reader__() {
30 : stan::io::program_reader reader;
31 : reader.add_event(0, 0, "start", "model1cb523508902dd_35830db9246beefe3363141b64f17491");
32 : reader.add_event(10, 8, "end", "model1cb523508902dd_35830db9246beefe3363141b64f17491");
33 : return reader;
34 : }
35 :
36 : class model1cb523508902dd_35830db9246beefe3363141b64f17491
37 : : public stan::model::model_base_crtp<model1cb523508902dd_35830db9246beefe3363141b64f17491> {
38 : private:
39 : public:
40 : model1cb523508902dd_35830db9246beefe3363141b64f17491(rstan::io::rlist_ref_var_context& context__,
41 : std::ostream* pstream__ = 0)
42 : : model_base_crtp(0) {
43 : ctor_body(context__, 0, pstream__);
44 : }
45 :
46 : model1cb523508902dd_35830db9246beefe3363141b64f17491(stan::io::var_context& context__,
47 : unsigned int random_seed__,
48 : std::ostream* pstream__ = 0)
49 : : model_base_crtp(0) {
50 : ctor_body(context__, random_seed__, pstream__);
51 : }
52 :
53 : void ctor_body(stan::io::var_context& context__,
54 : unsigned int random_seed__,
55 : std::ostream* pstream__) {
56 : typedef double local_scalar_t__;
57 :
58 : boost::ecuyer1988 base_rng__ =
59 : stan::services::util::create_rng(random_seed__, 0);
60 : (void) base_rng__; // suppress unused var warning
61 :
62 : current_statement_begin__ = -1;
63 :
64 : static const char* function__ = "model1cb523508902dd_35830db9246beefe3363141b64f17491_namespace::model1cb523508902dd_35830db9246beefe3363141b64f17491";
65 : (void) function__; // dummy to suppress unused var warning
66 : size_t pos__;
67 : (void) pos__; // dummy to suppress unused var warning
68 : std::vector<int> vals_i__;
69 : std::vector<double> vals_r__;
70 : local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
71 : (void) DUMMY_VAR__; // suppress unused var warning
72 :
73 : try {
74 : // initialize data block variables from context__
75 :
76 : // initialize transformed data variables
77 : // execute transformed data statements
78 :
79 : // validate transformed data
80 :
81 : // validate, set parameter ranges
82 : num_params_r__ = 0U;
83 : param_ranges_i__.clear();
84 : current_statement_begin__ = 3;
85 : validate_non_negative_index("y", "2", 2);
86 : num_params_r__ += (1 * 2);
87 : } catch (const std::exception& e) {
88 : stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
89 : // Next line prevents compiler griping about no return
90 : throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
91 : }
92 : }
93 :
94 : ~model1cb523508902dd_35830db9246beefe3363141b64f17491() { }
95 :
96 :
97 : void transform_inits(const stan::io::var_context& context__,
98 : std::vector<int>& params_i__,
99 : std::vector<double>& params_r__,
100 : std::ostream* pstream__) const {
101 : typedef double local_scalar_t__;
102 : stan::io::writer<double> writer__(params_r__, params_i__);
103 : size_t pos__;
104 : (void) pos__; // dummy call to supress warning
105 : std::vector<double> vals_r__;
106 : std::vector<int> vals_i__;
107 :
108 : current_statement_begin__ = 3;
109 : if (!(context__.contains_r("y")))
110 : stan::lang::rethrow_located(std::runtime_error(std::string("Variable y missing")), current_statement_begin__, prog_reader__());
111 : vals_r__ = context__.vals_r("y");
112 : pos__ = 0U;
113 : validate_non_negative_index("y", "2", 2);
114 : context__.validate_dims("parameter initialization", "y", "double", context__.to_vec(2));
115 : std::vector<double> y(2, double(0));
116 : size_t y_k_0_max__ = 2;
117 : for (size_t k_0__ = 0; k_0__ < y_k_0_max__; ++k_0__) {
118 : y[k_0__] = vals_r__[pos__++];
119 : }
120 : size_t y_i_0_max__ = 2;
121 : for (size_t i_0__ = 0; i_0__ < y_i_0_max__; ++i_0__) {
122 : try {
123 : writer__.scalar_unconstrain(y[i_0__]);
124 : } catch (const std::exception& e) {
125 : stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable y: ") + e.what()), current_statement_begin__, prog_reader__());
126 : }
127 : }
128 :
129 : params_r__ = writer__.data_r();
130 : params_i__ = writer__.data_i();
131 : }
132 :
133 : void transform_inits(const stan::io::var_context& context,
134 : Eigen::Matrix<double, Eigen::Dynamic, 1>& params_r,
135 : std::ostream* pstream__) const {
136 : std::vector<double> params_r_vec;
137 : std::vector<int> params_i_vec;
138 : transform_inits(context, params_i_vec, params_r_vec, pstream__);
139 : params_r.resize(params_r_vec.size());
140 : for (int i = 0; i < params_r.size(); ++i)
141 : params_r(i) = params_r_vec[i];
142 : }
143 :
144 :
145 : template <bool propto__, bool jacobian__, typename T__>
146 : T__ log_prob(std::vector<T__>& params_r__,
147 : std::vector<int>& params_i__,
148 : std::ostream* pstream__ = 0) const {
149 :
150 : typedef T__ local_scalar_t__;
151 :
152 : local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
153 : (void) DUMMY_VAR__; // dummy to suppress unused var warning
154 :
155 : T__ lp__(0.0);
156 : stan::math::accumulator<T__> lp_accum__;
157 : try {
158 : stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
159 :
160 : // model parameters
161 : current_statement_begin__ = 3;
162 : std::vector<local_scalar_t__> y;
163 : size_t y_d_0_max__ = 2;
164 : y.reserve(y_d_0_max__);
165 : for (size_t d_0__ = 0; d_0__ < y_d_0_max__; ++d_0__) {
166 : if (jacobian__)
167 : y.push_back(in__.scalar_constrain(lp__));
168 : else
169 : y.push_back(in__.scalar_constrain());
170 : }
171 :
172 : // model body
173 :
174 : current_statement_begin__ = 6;
175 : lp_accum__.add(normal_log<propto__>(get_base1(y, 1, "y", 1), 0, 1));
176 : current_statement_begin__ = 7;
177 : lp_accum__.add(double_exponential_log<propto__>(get_base1(y, 2, "y", 1), 0, 2));
178 :
179 : } catch (const std::exception& e) {
180 : stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
181 : // Next line prevents compiler griping about no return
182 : throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
183 : }
184 :
185 : lp_accum__.add(lp__);
186 : return lp_accum__.sum();
187 :
188 : } // log_prob()
189 :
190 : template <bool propto, bool jacobian, typename T_>
191 : T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
192 : std::ostream* pstream = 0) const {
193 : std::vector<T_> vec_params_r;
194 : vec_params_r.reserve(params_r.size());
195 : for (int i = 0; i < params_r.size(); ++i)
196 : vec_params_r.push_back(params_r(i));
197 : std::vector<int> vec_params_i;
198 : return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
199 : }
200 :
201 :
202 : void get_param_names(std::vector<std::string>& names__) const {
203 : names__.resize(0);
204 : names__.push_back("y");
205 : }
206 :
207 :
208 : void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
209 : dimss__.resize(0);
210 : std::vector<size_t> dims__;
211 : dims__.resize(0);
212 : dims__.push_back(2);
213 : dimss__.push_back(dims__);
214 : }
215 :
216 : template <typename RNG>
217 : void write_array(RNG& base_rng__,
218 : std::vector<double>& params_r__,
219 : std::vector<int>& params_i__,
220 : std::vector<double>& vars__,
221 : bool include_tparams__ = true,
222 : bool include_gqs__ = true,
223 : std::ostream* pstream__ = 0) const {
224 : typedef double local_scalar_t__;
225 :
226 : vars__.resize(0);
227 : stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
228 : static const char* function__ = "model1cb523508902dd_35830db9246beefe3363141b64f17491_namespace::write_array";
229 : (void) function__; // dummy to suppress unused var warning
230 :
231 : // read-transform, write parameters
232 : std::vector<double> y;
233 : size_t y_d_0_max__ = 2;
234 : y.reserve(y_d_0_max__);
235 : for (size_t d_0__ = 0; d_0__ < y_d_0_max__; ++d_0__) {
236 : y.push_back(in__.scalar_constrain());
237 : }
238 : size_t y_k_0_max__ = 2;
239 : for (size_t k_0__ = 0; k_0__ < y_k_0_max__; ++k_0__) {
240 : vars__.push_back(y[k_0__]);
241 : }
242 :
243 : double lp__ = 0.0;
244 : (void) lp__; // dummy to suppress unused var warning
245 : stan::math::accumulator<double> lp_accum__;
246 :
247 : local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
248 : (void) DUMMY_VAR__; // suppress unused var warning
249 :
250 : if (!include_tparams__ && !include_gqs__) return;
251 :
252 : try {
253 : if (!include_gqs__ && !include_tparams__) return;
254 : if (!include_gqs__) return;
255 : } catch (const std::exception& e) {
256 : stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
257 : // Next line prevents compiler griping about no return
258 : throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
259 : }
260 : }
261 :
262 : template <typename RNG>
263 : void write_array(RNG& base_rng,
264 : Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
265 : Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
266 : bool include_tparams = true,
267 : bool include_gqs = true,
268 : std::ostream* pstream = 0) const {
269 : std::vector<double> params_r_vec(params_r.size());
270 : for (int i = 0; i < params_r.size(); ++i)
271 : params_r_vec[i] = params_r(i);
272 : std::vector<double> vars_vec;
273 : std::vector<int> params_i_vec;
274 : write_array(base_rng, params_r_vec, params_i_vec, vars_vec, include_tparams, include_gqs, pstream);
275 : vars.resize(vars_vec.size());
276 : for (int i = 0; i < vars.size(); ++i)
277 : vars(i) = vars_vec[i];
278 : }
279 :
280 : std::string model_name() const {
281 : return "model1cb523508902dd_35830db9246beefe3363141b64f17491";
282 : }
283 :
284 :
285 : void constrained_param_names(std::vector<std::string>& param_names__,
286 : bool include_tparams__ = true,
287 : bool include_gqs__ = true) const {
288 : std::stringstream param_name_stream__;
289 : size_t y_k_0_max__ = 2;
290 : for (size_t k_0__ = 0; k_0__ < y_k_0_max__; ++k_0__) {
291 : param_name_stream__.str(std::string());
292 : param_name_stream__ << "y" << '.' << k_0__ + 1;
293 : param_names__.push_back(param_name_stream__.str());
294 : }
295 :
296 : if (!include_gqs__ && !include_tparams__) return;
297 :
298 : if (include_tparams__) {
299 : }
300 :
301 : if (!include_gqs__) return;
302 : }
303 :
304 :
305 : void unconstrained_param_names(std::vector<std::string>& param_names__,
306 : bool include_tparams__ = true,
307 : bool include_gqs__ = true) const {
308 : std::stringstream param_name_stream__;
309 : size_t y_k_0_max__ = 2;
310 : for (size_t k_0__ = 0; k_0__ < y_k_0_max__; ++k_0__) {
311 : param_name_stream__.str(std::string());
312 : param_name_stream__ << "y" << '.' << k_0__ + 1;
313 : param_names__.push_back(param_name_stream__.str());
314 : }
315 :
316 : if (!include_gqs__ && !include_tparams__) return;
317 :
318 : if (include_tparams__) {
319 : }
320 :
321 : if (!include_gqs__) return;
322 : }
323 :
324 : }; // model
325 :
326 : } // namespace
327 :
328 : typedef model1cb523508902dd_35830db9246beefe3363141b64f17491_namespace::model1cb523508902dd_35830db9246beefe3363141b64f17491 stan_model;
329 :
330 : #ifndef USING_R
331 :
332 : stan::model::model_base& new_model(
333 : stan::io::var_context& data_context,
334 : unsigned int seed,
335 : std::ostream* msg_stream) {
336 : stan_model* m = new stan_model(data_context, seed, msg_stream);
337 : return *m;
338 : }
339 :
340 : #endif
341 :
342 :
343 :
344 : #include <rstan_next/stan_fit.hpp>
345 :
346 : struct stan_model_holder {
347 : stan_model_holder(rstan::io::rlist_ref_var_context rcontext,
348 : unsigned int random_seed)
349 : : rcontext_(rcontext), random_seed_(random_seed)
350 : {
351 : }
352 :
353 : //stan::math::ChainableStack ad_stack;
354 : rstan::io::rlist_ref_var_context rcontext_;
355 : unsigned int random_seed_;
356 : };
357 :
358 : Rcpp::XPtr<stan::model::model_base> model_ptr(stan_model_holder* smh) {
359 : Rcpp::XPtr<stan::model::model_base> model_instance(new stan_model(smh->rcontext_, smh->random_seed_), true);
360 : return model_instance;
361 : }
362 :
363 : Rcpp::XPtr<rstan::stan_fit_base> fit_ptr(stan_model_holder* smh) {
364 : return Rcpp::XPtr<rstan::stan_fit_base>(new rstan::stan_fit(model_ptr(smh), smh->random_seed_), true);
365 : }
366 :
367 : std::string model_name(stan_model_holder* smh) {
368 : return model_ptr(smh).get()->model_name();
369 : }
370 :
371 : RCPP_MODULE(stan_fit4model1cb523508902dd_35830db9246beefe3363141b64f17491_mod){
372 : Rcpp::class_<stan_model_holder>("stan_fit4model1cb523508902dd_35830db9246beefe3363141b64f17491")
373 : .constructor<rstan::io::rlist_ref_var_context, unsigned int>()
374 : .method("model_ptr", &model_ptr)
375 : .method("fit_ptr", &fit_ptr)
376 : .method("model_name", &model_name)
377 : ;
378 : }
379 :
380 :
381 : // declarations
382 : extern "C" {
383 : SEXP file1cb523680955c9( ) ;
384 : }
385 :
386 : // definition
387 :
388 : SEXP file1cb523680955c9( ){
389 : return Rcpp::wrap("35830db9246beefe3363141b64f17491");
390 : }
391 :
392 :
make cmd is
make -f '/software/R/lib64/R/etc/Makeconf' -f '/software/R/lib64/R/share/make/shlib.mk' -f '/home/s/sdaza/.R/Makevars' CXX='$(CXX14) $(CXX14STD)' CXXFLAGS='$(CXX14FLAGS)' CXXPICFLAGS='$(CXX14PICFLAGS)' SHLIB_LDFLAGS='$(SHLIB_CXX14LDFLAGS)' SHLIB_LD='$(SHLIB_CXX14LD)' SHLIB='file1cb523680955c9.so' OBJECTS='file1cb523680955c9.o'
make would use
g++ -I"/software/R/lib64/R/include" -DNDEBUG -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/Rcpp/include/" -I"/software/R/lib64/R/library/RcppEigen/include/" -I"/software/R/lib64/R/library/RcppEigen/include/unsupported" -I"/software/R/lib64/R/library/BH/include" -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/StanHeaders/include/src/" -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/StanHeaders/include/" -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/RcppParallel/include/" -I"/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/rstan/include" -DEIGEN_NO_DEBUG -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -DSTAN_THREADS -DBOOST_NO_AUTO_PTR -include '/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp' -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1 -I/usr/local/include -O3 -mtune=native -march=native -Wno-unused-variable -Wno-unused-function -fPIC -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -flto -Wno-unused-local-typedefs -Wno-ignored-attributes -Wno-deprecated-declarations -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -c file1cb523680955c9.cpp -o file1cb523680955c9.o
if test "zfile1cb523680955c9.o" != "z"; then \
echo g++ -shared -L"/software/R/lib64/R/lib" -L/usr/local/lib64 -o file1cb523680955c9.so file1cb523680955c9.o '/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/rstan/lib//libStanServices.a' -L'/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/StanHeaders/lib/' -lStanHeaders -L'/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/RcppParallel/lib/' -ltbb -L"/software/R/lib64/R/lib" -lR; \
g++ -shared -L"/software/R/lib64/R/lib" -L/usr/local/lib64 -o file1cb523680955c9.so file1cb523680955c9.o '/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/rstan/lib//libStanServices.a' -L'/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/StanHeaders/lib/' -lStanHeaders -L'/home/s/sdaza/R/x86_64-pc-linux-gnu-library/4.0/RcppParallel/lib/' -ltbb -L"/software/R/lib64/R/lib" -lR; \
fi
Error in dyn.load(libLFile) :
unable to load shared object '/tmp/RtmpXLE2Io/file1cb523680955c9.so':
/tmp/RtmpXLE2Io/file1cb523680955c9.so: undefined symbol: _ZN5rstan8stan_fitC1EP7SEXPRECi
In addition: Warning message:
In system(paste(CPP, ARGS), ignore.stdout = TRUE, ignore.stderr = TRUE) :
error in running command
traceback() is:
6: dyn.load(libLFile)
5: cxxfunction(sig = sig, body = body, plugin = plugin, includes = includes,
settings = settings, ..., verbose = verbose)
4: pkgbuild::with_build_tools(cxxfunction(sig = sig, body = body,
plugin = plugin, includes = includes, settings = settings,
..., verbose = verbose), required = rstan_options("required") &&
!identical(Sys.getenv("WINDOWS"), "TRUE") && !identical(Sys.getenv("R_PACKAGE_SOURCE"),
""))
3: cxxfunctionplus(signature(), body = paste(" return Rcpp::wrap(\"",
model_name, "\");", sep = ""), includes = inc, plugin = "rstan",
save_dso = save_dso | auto_write, module_name = paste("stan_fit4",
model_cppname, "_mod", sep = ""), verbose = verbose)
2: stan_model(file, model_name = model_name, model_code = model_code,
stanc_ret = NULL, boost_lib = boost_lib, eigen_lib = eigen_lib,
save_dso = save_dso, verbose = verbose)
1: stan(model_code = scode, iter = 10, verbose = TRUE)
My system:
> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)
Matrix products: default
BLAS: /software/R/lib64/R/lib/libRblas.so
LAPACK: /software/R/lib64/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_GB.UTF-8 LC_COLLATE=en_GB.UTF-8
[5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=en_GB.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] rstan_2.21.3 ggplot2_3.3.2 StanHeaders_2.21.0-6
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 pillar_1.4.6 compiler_4.0.2 prettyunits_1.1.1
[5] tools_4.0.2 pkgbuild_1.1.0 jsonlite_1.7.1 lifecycle_0.2.0
[9] tibble_3.0.4 gtable_0.3.0 pkgconfig_2.0.3 rlang_0.4.8
[13] cli_2.1.0 parallel_4.0.2 curl_4.3 loo_2.3.1
[17] gridExtra_2.3 withr_2.3.0 dplyr_1.0.0 generics_0.0.2
[21] vctrs_0.3.4 stats4_4.0.2 grid_4.0.2 tidyselect_1.1.0
[25] glue_1.4.2 inline_0.3.16 R6_2.4.1 processx_3.4.4
[29] fansi_0.4.1 callr_3.5.1 purrr_0.3.4 magrittr_1.5
[33] codetools_0.2-16 scales_1.1.1 ps_1.4.0 ellipsis_0.3.1
[37] matrixStats_0.57.0 assertthat_0.2.1 colorspace_1.4-1 V8_3.2.0
[41] RcppParallel_5.0.2 munsell_0.5.0 crayon_1.3.4
Any ideas or suggestions?
Thanks!